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1999-9429ISSN2, 2012
.
1
.
77-28889 12.07.2007 -
1995 41970
2 (127). 2012 .
, .
. Ulrich`s Periodicals Directory.
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020565 23.06.1997 . 15.02.2012 .
.108708
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. . . . 32,3. .-. . 32,0. . 250 .
: 347928, . , 17, , 44. : 347928, . , 17, , 1.
: 347928, . , 17, . , 44, , , : +7 8634 371-071, : +7 8634 613-933, e-mail: [email protected], http://www.nich.tsure.ru/onti/izv.htm.
ISSN 1999-9429 . , 2012
2
I.
.. , .. ..... 8
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II.
.. - - .......................................................................................................... 66
.. ............................................................................................. 71
.. ......................................................... 76
.. - ....................................................................................... 82
.. , .. , .. - - ................................................................................. 88
.. , .. , .. SGB25VD ............. 94
.. , .. , .. .. 99
3
III.
.. , .. LMS- RLS- ................................................ 106
.. , .. ................... 112
............................. 118
.. , .. - ........................................ 124
A.M. , .. , .. ................................................................................................... 130
.. ................... 135
.. ..................................................................................... 141
.. ............................................................ 146
IV.
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V.
.. , .. , , .................... 198
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VI.
.. ......... 232
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VII.
.. , .. .................... 248
.. , .. .................................................... 251
5
CONTENT
SECTION I. MATHEMATICAL METHODS OF SYNTHESIS OF SYSTEMS
A.R. Gaiduk, K.V. Besklubova ESTIMATION METHODS OF THE LINEAR SYSTEMS STATE VARIABLES ....... 8
Guo Peng DESIGN METHOD OF SYSTEMS WITH CONTROLLER ON OUTPUT AND DISTURBANSES................................................................................................... 13
N.V. Gudkova, K.V. Besklubova ALGORITHM FOR ADAPTIVE LINEARIZATION TRANSFER CHARACTERISTICS OF THE ELECTRONIC AMPLIFYING DEVICES .................. 19
V.I. Djigan MULTI-BEAM ADAPTIVE ARRAY ............................................................................. 24
E.V. Moiseeva EXPERIMENTALLY-ANALYTICAL METHOD OF IDENTIFICATION OF LOW-FREQUENCY OBJECTS ................................................................................ 30
Ya.E. Romm, A.S. Ivanova THE METHOD OF EXPANSION OF A NUMERICAL RANGE AT VERTICAL ARITHMETIC TREATMENT ........................................................................................ 36
L.K. Samoylov THE ITERATIVE ALGORITHMS OF A DETERMINATION OF ANALOGUE SIGNALS SAMPLING FREQUENCY IN THE CONTROL AND THE SUPERVISING SYSTEMS ............................................................................................. 43
.V. Semenov, .R. Gaiduk SYNTHESIS OF DISCRETE NONMINIMUM-PHASE TRACKING LOOP SYSTEM ............................................................................................................... 53
M.K. Tchobanou DYNAMIC IMAGES COMPRESSION SYSTEM ......................................................... 59
SECTION II. IP-CORES MIXED-SIGNAL SYSTEM ON CHIP
E.A. Zhebrun PULSE-POTENTIAL ADCS OF MIXED SOC IN CMOS-BASIS ................................ 66
A.V. Zolotarev DRIFT FREE SPECTRUM LIMITERS WITH WIDENED OPERATING FREQUENCY RANGE ................................................................................................... 71
G.A. Svizev ENERGY-EFFICIENT ANALOG CONDITIONERS OF PRECISION SENSORS FOR MIXED SOC AND SIP .................................................................................................... 77
A.E. Titov RADIATION-RESISTANT TWO-CHANNEL INSTRUMENTATION AMPLIFIER ON THE BASE MOA ...................................................................................................... 82
P.S. Budyakov, N.N. Prokopenko, A.I. Serebryakov MM-WAVE IP-BLOCK OF MIXER FOR HIGH-SPEED DATA TRANSMISSION SYSTEMS ........................................................................................................................ 88
N.N. Prokopenko, A.I. Serebryakov, P.S. Budyakov METHODS FOR THE CORRECTION OF THE FREQUENCY CHARACTERISTICS OF THE CONTROL AMPLIFIER AND THE ANALOG MULTIPLIERS GILBERT BASED ON THE BIPOLAR TRANSISTOR PROCESS SGB25VD.............................. 94
E.I. Starchenko, I.V. Barilov, P.S. Kuznetsov COMPENSATION METHOD OF INTEGRAL BAND-GAP VOLTAGE REFERENCES SECOND ORDER COMPONENT INFLUENCE ON TEMPERATURE STABILITY ....................................................................................... 100
6
SECTION III. MODELLING OF COMPLEX SYSTEMS
M.V. Djigan, O.V. Djigan COMPARATIVE ANALYSIS OF EFFICIENCY OF ADAPTIVE FILTERS BASED ON LMS AND RLS ALGORITHMS .............................................................................. 106
E.E. Degtyareva, A.E. Chistyakov MODELING SEDIMENT TRANSPORT BASED ON EXPERIMENTAL STUDIES IN AZOV SEA ................................................................................................................. 112
Hekmat Kandalft TREE-DIMENSIONAL MATHEMATICAL MODEL OF A MOTION OF THE AQUATIC ENVIRONMENT, THE SURFACE OF WHICH IS COVERED BY ICE PLATE ............................................................................................................................. 118
A.O. Kasyanov, C.V. Sumatokhin FULL-WAVE SIMULATION OF RECONFIGURABLE FREQUENCY SELECTIVE SURFACES AND MICROSTRIP REFLECTARRAYS ................................................. 124
A.M. Pashayev, R.N. Nabiyev, Q.. Qarayev THE SCHEME OF PROTECTION AGAINST SIMULTANEOUS OPENING OF TWO OR MORE TRIACS ........................................................................................ 130
T.A. Pyavchenko REGULATOR WITHOUT THE DERIVATIVE COMPONENT FOR CONTROL OF THE INDUSTRIAL OBJECTS ....................................................................................... 135
I.O. Shapovalov MOBILE ROBOT GROUP USING IN COMPLEX TRANSPORT PROBLEMS .......... 141
E.A. Shestova DEVELOPMENT MODELS AND METHODS OF ANALYSIS AND EVALUATION THE TEST RESULTS ..................................................................................................... 147
SECTION IV. METHODS OF THE ARTIFICIAL INTELLECT
Yu.A. Zargaryan RANKING CRITERIA FOR PARETO-OPTIMAL SOLUTIONS OF MULTIOBJECTIVE PROBLEMS .................................................................................. 153
V.I. Finaev, Yu.A. Zargaryan FORMALIZATION PREFERENCES IN EXPERT GROUP DECISION MAKING ..... 160
G.A. Saratikyan, V.I. Finaev, Yu.I. Ivanov, V.A. Cheremushkin INTELLECTUAL ELECTRICITY: NEED, CONCEPT AND IMPLEMENTATION OF THE WAY ................................................................................................................. 165
I.S. Kobersy, D.V. Shkurkin APPLICATION OF GENETIC ALGORITHMS FOR OPTIMIZATION OF TRANSPORT PROBLEMS ....................................................................................... 172
F.A. Mahmudlu ABOUT BISPECTRAL WAVELET ANALYSIS OF DATA ......................................... 176
D.I. Ryashentseva ADAPTIVE FUZZY MODELS IN THE TASK AUTOMATICALLY OPTIMIZATION OF BOILERS ...................................................................................... 181
E.D. Sinyavskaya SYSTEMS OF DECISION-MAKING IN FUZZINESS OF DATA ................................ 186
V.V. Soloviev, E.A. Shestova OPTIMIZATION REGULATOR COMPLEX TECHNICAL MANAGERIAL SYSTEM WITH FUZZY PARAMETERS ...................................................................... 191
7
SECTION V. THE AUTOMATED CONTROL SYSTEMS
R.Yu. Vishnyakov, Yu.M. Vishnyakov WORDS SCALE, OPERA TIONS ON THE SEGMENTS, PARTITIONING ............... 198
A.O. Kasyanov, S.E. Stochkov THE MATHEMATICAL SIMULATION OF MICROWAVE DEVICES OF SPATIAL, FREQUENCY AND POLARIZATION SELECTION, BASED ON RECONFIGURABLE MICROSTRIP REFLECTARRAYS .................................... 204
S.M. Kovalev, V.P. Ternovoy PREDICTION OF THE DYNAMICS OF AUTOMATED CONTROL SYSTEMS RAIL-BASED NONLINEAR ANALYSIS TELECOMMUNICATIONS TRAFFIC ..... 212
E.A. Plaksienko DESIGN OF THE NONLINEAR A STATIC CONTROL SYSTEMS ........................... 220
V.V. Soloviev, V.Y. Stepanova, V.V. Shadrina MATHEMATICAL MODEL OF SYSTEM OF HEATING OF THE MANY-STOREYED BUILDING ................................................................................... 226
SECTION VI. NEW INFORMATION TECHNOLOGIES IN POWER
E.J. Kosenko SYSTEM ASPECTS OF OPTIMIZATION OF FUNCTIONING OF TERRITORIALLY DISTRIBUTED POWER SYSTEMS .............................................. 232
O.V. Kosenko DISTRIBUTION OF SEQUENCE OF SUBTASKS AT MANUFACTURE SCHEDULING ................................................................................................................ 236
E.S. Nickul ALGORITHM FOR ANALYZING MATRICES OF PAIRWISE COMPARISONS BY CALCULATING VECTORS OF PRIORITIES .............................................................. 241
SECTION VII. PRACTICAL ASPECTS OF POWER
M.M. Boychenko, A.Y. Moltchanov OPTIMIZATION OF ENERGY COST OF SHIPPING USING PUBLIC INFORMATION RESOURCES ...................................................................................... 248
N.K. Poluyanovich, A.N. Pritula DESIGNING OF THE ADAPTIVE DEVICE OF OZONIZATION OF AIR OF SYSTEM TOPLIVOPODACHI DVS .............................................................................. 252
.
8
I.
681.12
.. , ..
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. , - . , - , . - . - .
; ; ; ; .
A.R. Gaiduk, K.V. Besklubova
ESTIMATION METHODS OF THE LINEAR SYSTEMS STATE VARIABLES
In this work we researched the task of estimations of state variables vectors norm of dy-namic system. Constraint control in the form of linear state feedback is considered. The estimation is produced with application of Lyapunov's function method, an inequality of Cauchy and invari-ant ellipsoids. Analytical expressions, defining conditions of the guaranteed systems stability, are received. Simulation of the linear system with constraint control is led at the various initial condi-tions which results prove the specified expressions.
Control system; control constraint; Lyapunov's function; an estimation of stability area; state variables.
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- . ; e-mail: [email protected]; 347904, . , . 26, . 2; .: 88634626287; ; ...; .
e-mail: [email protected]; 347904, . , . , 8/1, . 33; .: 88634387349; .
Gaiduk Anatoly Romanovich Taganrog Institute of Technology Federal State-Owned Au-tonomy Educational Establishment of Higher Vocational Education Southern Federal Universi-ty; e-mail: [email protected]; 26, Slesarnaya street; app. 2; Taganrog, 347904, Russia; phone: +78634626287; the department of automatic control systems; dr. of eng. sc.; professor.
Besklubova Ksenia Valeryevna e-mail: [email protected]; 8/1, Yablochkina street, app. 33, Taganrog; 347904, Russia; phone: +78634387349; the department of automatic control systems; magister.
681.5
-. , , - , . - , - . . .
; ; ; ; ; ; .
Guo Peng
DESIGN METHOD OF SYSTEMS WITH CONTROLLER ON OUTPUT AND DISTURBANSES
The article deals with an analytical method for the design of systems with controller on output and disturbances. Controller of this type allow you to control not only the poles of the system, but also its zeros, which ensures stability control systems linear objects of arbitrary type as stable or unstable. This takes into account the conditions of physical realizability controller, and stability con-ditions do not contradict the conditions of astatism and accuracy. Solution to the problem of synthesis of structure and parameters of the desired controller is reduced to solving systems of linear algebraic equations. The effectiveness of the proposed method is shown on the numerical example.
Object; controller; system stability; the quality; design; the calculated equation.
.
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Guo Peng Taganrog InstituteEstablishment of Higher [email protected]; 17, Petrov+79514969807; the department o
2.
, ; . , ,
.. . . , 2005. : . .: , 2010. ..
LAB. .: , 2011. // . . 164-167. ., , . 2008. 4. . 7-12.
..., ..
ail: [email protected]; 347904, . , . ; .
e of Technology Federal State-Owned Autonomy Educatocational Education Southern Federal University; e-vskaya street, app. 308-3, Taganrog, 347904; Russia; phof automatic control systems; postgraduate student.
-,
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tional mail: hone:
I.
19
681.513.6
.. , ..
- , . - (), - , LUT-. - , . .
; ; ; ; - .
N.V. Gudkova, K.V. Besklubova
ALGORITHM FOR ADAPTIVE LINEARIZATION TRANSFER CHARACTERISTICS OF THE ELECTRONIC AMPLIFYING DEVICES
We suggest one of the possible solutions the problem linearization nonlinear static charac-teristics of electronic devices, which based at the principle adaptive inverse modeling of objects such as black box. As an example are considered the algorithm of adaptive compensation non-linear characteristic power amplifier. This algorithm can be an alternative to traditional digital predystorter at the basis of LUT-tables. The results of computer simulation confirm the effective-ness of proposed solutions. There is ease of digital implementation of adaptive algorithms by means of microcircuitry.
Adaptive algorithm; linearization; power amplifier; the inverse model; the "black box".
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1. .. - // IV - - - . , 2010. .: (-2010).
2. Widrow B., Walach E. Adaptive Inverse Control- A Signal Processing Approach, Wiley, Ho-boken, NJ, 2008.
3. .. - // . .: -, 2006. 4.
..., .. .
- . ; e-mail: [email protected]; 347928, . , . , 44; .: 88634371689; ; ...; .
e-mail: [email protected]; - ; c.
Gudkova Natalya Vasilyevna Taganrog Institute of Technology Federal State-Owned Autono-my Educational Establishment of Higher Vocational Education Southern Federal University; e-mail: [email protected]; 44, Nekrasovsky, Taganrog, 347928, Russia; phone: +78634371689; the department of automatic control systems; cand. of eng. sc.; associate professor.
Besklubova Ksenia Valeryevna e-mail: [email protected]; the department of automatic control systems; student.
621.03.01
..
, - . - -
.
24
, , . - .
; ; RLS-; -; .
V.I. Djigan
MULTI-BEAM ADAPTIVE ARRAY
The paper considers the multi-beam adaptive antenna array, which weights are computed by means of a linearly constrained recursive least squares algorithm. The array is used for the receiving of constant modulus desired signals and for the combating of interferences which may be uncorrelated or correlated with desired signals. Simulation results demonstrate the efficiency of the solution of the above mentioned tasks.
Adaptive array; adaptive algorithm; RLS algorithm; linear constraints; blind algorithms.
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1. Treichler J., Larimore M. New processing techniques based on the constant modulus adaptive algorithm. IEEE Trans. Acoustics, Speech and Signal Processing. 1985. Vol. 33, .2. P. 420-431.
2. Chen Y., Le-Ngoc T., Champagn B., Xu C. Recursive least squares constant modulus algorithm for blind adaptive array. IEEE Trans. Signal Processing. 1985. Vol. 33, 2. P. 1452-1456.
3. Frost O.L. An algorithm for linearly constrained adaptive array processing. Proceedings of the IEEE. 1972. Vol. 60. 8. P. 926-935.
4. Djigan V.I. Joint use of constant modulus and least squares criteria in linearly-constrained communication arrays. Radioengineering: Proceedings of Czech and Slovak Technical Uni-versities and URSI Committers. 2007. Vol. 16. 4. P. 88-95.
5. .. RLS- RLS- // . 2004. 11. . 48-77.
..., ..
. - - ; e-mail: [email protected]; 124460, . , , , . 4922, 2; .: +74997311961; ; ...
Djigan Victor Ivanovich Scientific Secretary of ELVEES R&D Center of Microelectronics; e-mail: [email protected]; Bld. 2, Pas. 4922, Southern Industrial Park, Zelenograd, Moscow, 124460, Russia; phone: +74997311961; principal researcher; dr. of eng. sc.
621.391:519.21
..
-
- . - - . - . -
.
30
. - , .
; ; ; .
E.V. Moiseeva
EXPERIMENTALLY-ANALYTICAL METHOD OF IDENTIFICATION OF LOW-FREQUENCY OBJECTS
The problem of identification of dynamic objects from experimental data, is one of the major problems in modern control theory. Identification is a must and the most difficult stage in the pro-cess of solving applied problems. The need to optimize the solution of practical problems through the rational identification stimulate progress in the theory of classical direction.In work the meth-od of identification of objects under their frequency characteristics and accelerating curves is presented. The estimation of an error of identification by comparison of characteristics of model and real object, and also with result of identification by a method of Simoju is executed.
Model of the object identifications; delay on phase; set of inertial links; educational training stand.
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1. .. : . 5- ., . . .: , 2008. 396 .
2. .., .. . 3- ., . . .: . . . -. ., 1975. 768 .
3. .. // . . 2010. 7 (108). . 216-219.
4. .. - // . , , . 2007. 12. . 26-30.
5. http://blkptv.by.ru/ident/1/1_2.html/.
..., ..
. ; e-mail: [email protected]; 347900, . , . , 11-1; .: +79185023056; ; .
Moiseeva Elena Viktorovna Taganrog Institute of Technology Federal State-Owned Autono-my Educational Establishment of Higher Vocational Education Southern Federal University; e-mail: [email protected]; 11-1, Himicheskaya street; Taganrog, 347900, Russia; phone: +79185023056; the department of automatic control systems; applicant.
681.3:007
.. , ..
, - . - , , - , . - , -
.
36
, .
; ; - .
Ya.E. Romm, A.S. Ivanova
THE METHOD OF EXPANSION OF A NUMERICAL RANGE AT VERTICAL ARITHMETIC TREATMENT
The paper proposes the method of vertical summation of the stream of integers of binary numbers, which excludes the loss of significant digits and ensures accuracy of execution of opera-tions in the format of the fixed-point in all the time during the flow processing. Presented algo-rithms, assessments of the time complexity, describes the architecture of multiprocessor computing system oriented at the realization of the proposed method. In this paper are also shown the dia-gram of the vertical stream processing in format with fixed-point, structure of the AIM for stream-ing processing in a vertical format with a fixed point for which the samples are made in their cal-culations as a set of input components consisting of the input array.
Vertical arithmetic treatment; expansion of the numerical range; streaming summation.
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1. . I. // . 1998. 3. . 123-151.
2. .. . II. // . 1998. 6. . 114-142.
I.
43
3. .. // , 1963. . 148, 2. . 296-299.
4. Dadda L. Some schemes for parallel multipliers. Alta Freg. May. 1965. . 349-356. 5. .. , -
// . . . 1965. . 8. . 121-144.
6. .. - // . .: , 1967. . 19. . 107-123.
7. .., .. / . , 2010. 29 . . 19.11.2010, 644-2010.
8. .., .. - / . , 2011. 56 . . 19.07.2011, 350-2011.
..., .. .
; e-mail: [email protected]; 347926, . , . , 48; .: 88634601753; 88634601812; 88634601807; ...; .
e-mail: [email protected]; .: +79045001153; .
Romm Yakov Evseevich Taganrog State Pedagogical Institute; e-mail: [email protected]; 48, Initsiativnaya street, Taganrog, 347926, Russia; phone: +78634601753, +78634601812, +78634601807; dr. of eng. sc.; professor.
Ivanova Anna Sergeevna e-mail: [email protected]; phone: +79045001153; postgradu-ate student.
621.82: 621.397
..
- : , . - . . - - .
; ; ; - ; .
L.K. Samoylov
THE ITERATIVE ALGORITHMS OF A DETERMINATION OF ANALOGUE SIGNALS SAMPLING FREQUENCY IN THE CONTROL AND THE
SUPERVISING SYSTEMS
Sampling frequency of low-frequency signals is defined by errors of three processes: sam-pling; recovery; signal delay. The estimation of influence of these three processes traditionally is based on the use of concept of boundary frequency. At increasing of accuracy of representation of sensors signals there are problems of obtaining of their finite spectrum and determination of a
.
44
value of boundary frequency. In work the iterative algorithms of a computation of sampling fre-quency of real signals in control and supervising systems without use of concept of boundary fre-quency are considered.
Sampling frequency; recovery of signals; delay of signals; boundary frequency; control systems.
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. . . .
. 4.
1. . LabVIEW . .: : , 2005. 544 . 2. .. MSC12xx Texas
Instruments: , , . .: - -I, 2006. 608 .
3. .., .. // - . , , . 2009. 1.
I.
53
4. Samoylov L.K. The account of influence of time delays of processing of signals in digi-tal control systems" in The 2nd Chaotic Modeling and Simulation International Conference, Chania, 1-5 June 2009.
5. .. // . . 2011. 2 (115). . 118-122.
..., .. .
- - . ; e-mail: [email protected]; 347928, . , . , 44; .: +78634311193; ...; .
Samoilov Leonty Konstantinovich Taganrog Institute of Technological Taganrog Institute of Technology - Federal State-Owned Autonomy Educational Establishment of Higher Vocational Education Southern Federal University; e-mail: [email protected]; 44, Nekrasovsky, Taganrog, 347928, Russia; phone: +786343111193; dr. of eng. sc.; professor
681.51.01
.. , ..
-
. - - . - - . - - . - - .
C ; -; ; ; ; .
.V. Semenov, .R. Gaiduk
SYNTHESIS OF DISCRETE NONMINIMUM-PHASE TRACKING LOOP SYSTEM
Synthesis of two degree of freedom control device of discrete tracking loop system by speci-fied quality parameters is investigated in the given paper. Classification of nonminimum-phase one-dimensional control object is suggested. Method of synthesis of discrete nonminimum-phase astatic tracking loop systems with multivariable control device is offered. The method provides specified quality parameters of synthesized tracking loop system both for transient and stable mode. Example of synthesis of discrete astatic tracking loop system of nonminimum-phase object is described.
Ttracking loop; nonminimum-phase; two degree of freedom; digital; control; control quality.
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.
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( ) B z , -
. , - [2]
( ) (z)y(z)
( )g(z) ( ) k
B z W z
H z z , (8)
)z( )(zH , k .
( )
W z (8) ( )
W p - , -
g , - pt - (2), (3) .
TZ - ( )W p -
0 ( )H z )(zH , )z( (8) -
, ( )
W z -
1g , -
. - )(zH . )(zR , )(zQ )(zL
(3) ( )
W z (2), (3). -
.
56
( )W z
( )B z z , - [2].
( ) (z) ( )( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) kB z B z zB z Q z
zA z R z B z L z H z B z z
, (9)
z , k . (9), (7),
1
( ) ( ) ( ) ( ) ( ) ( ) kmzA z B z R z B z L z H z z . (10)
(9) (7) )(zQ :
1( ) (z)mQ z z . (11)
(10) , -. , )(zR
( ) ( ) ( )R z B z R z .
, -
max{ ,0}R g A . A ,
. , 1k , (10)
( ) ( 1) ( )RA z z A z ,
( ) ( 1) ( ) ( )RR z z B z R z , )(~)( zLzzL , (12)
)(zA , )(~
zR , )(~
zL . (10) (12) :
( ) ( ) ( ) ( ) ( )mA z R z B z L z D z ,
1( ) ( ) kD z H z z . (13) (13)
)(~
zR )(~
zL , k - :
- ;
)(zR Q(z) R(z);
)(~
zR )(~
zL , - (13);
(13) .
(13) -
)(~
zR )(~
zL , (12) )(zR )(zL . (9) (13) , )(zA -
(13). , )(zA
( )B z .
I.
57
. [4]:
( )( 1)( 1) M
KW p
p T p T p
, (14)
K ;
T , MT - .
(14) 0,05
T ; 0,7MT ; K =1 (14) -
c2d MATLAB 0,1T , -
2
3 2
( ) 0,002972 0,007505 0,001033( )
( ) 1,0 2,002 1,12 0,1173
B z z zW z
A z z z z
. (15)
(15) 3n , 2m . )(zB 1 2,3791
Bz 2 0,1462Bz . ,
(15) - . - (8).
( )
W p
n = 3, 1g g * 0
i , ni ,0 ( , 1 2,39 , 2 2,05 , 13 ) [2],
0 4,34 (1,5 0,1) 2,91 .
i 0 , -
3 2
29,79( )
p 6,355 22,97 29,79W p
p p
. (16)
TZ - (16) c2d
MATLAB 0,1T , )(zH - (8):
3 2( ) 2,351 1,902 0,5297H z z z z . (17) )(zH 3deg ( )H z . -
1 0deg ( ) g z [2], )z( 0(z) [5],
0 0,0064 . 1g
, (14), 1A . (11), (12) (13), 1
2k (3) : 2 3 2
2 1 0( ) ( ) 5,631 - 5,056 0,2775L z z z z z z z ; 2 3 2
2 1 0( ) ( )( ) 0, 2026 0,008741 0,006172R z B z z z z z z ; 1
0( ) 0,853mQ z p z z .
.
58
- . 2 3.
,
,
. 2.
, , -, 1,5 ; - .
,
,
. 3.
(. 3) , , .. .
, - .
- -. , () 1- - .
1. .. : . .: , 2010. 415 .
2. .., .., .. : / . ..., . .. . : - , 2007. 466 .
3. .. . .1 . .: , 2007. 312 .
4. .., .., .. - // . . 2009. 5 (94). . 251-257.
I.
59
5. .. - - // IX , , : . : - , 2011. . 2. . 139-142.
..., ..
- . ; e-mail: [email protected]; 347904, . , . , 26, . 2; .: 88634626287; ; ...; .
e-mail: [email protected]; 347922, . , . -, 2; .: 88634312350; ; .
Gaiduk Anatoly Romanovich Taganrog Institute of Technology - Federal State-Owned Auton-omy Educational Establishment of Higher Vocational Education Southern Federal University; e-mail: [email protected]; 2, Slesarnaya street, app. 26, Taganrog, 347904, Russia; phone: +78634626287; the department of automatic control systems; dr. of eng. sc.; professor.
Semenov Alexander Valerevich e-mail: [email protected]; 2, Shevchenko street, Taganrog, 347922, Russia; phone: +78634312350; the department of automatic control systems; postgraduate student.
621.396
..
- . - , , -, , - -, -. -, -, .
; ; .
M.K. Tchobanou
DYNAMIC IMAGES COMPRESSION SYSTEM
The peculiarities of dynamic images compression system due to the increasing demands of video information systems are given. Today TV systems are given, as well as future multi-view systems, the requirements to be met by a modern compression system are presented, including the implementation of multi-dimensional wavelet transform, and the perspectives of modern video coding systems are presented. The results of the synthesis of multidimensional multirate nonseparable systems, including orthogonal and biorthogonal systems, and their implementation on digital signal processors are considered.
Image compression; multirate system; wavelet; digital signal processors.
[1]. , (, , , , ..), . -
.
60
-. . -, (RLE) LZW (--), , , . ( ).
, . . () , - [2]. -. , . - , . , - , . , . - , - . () () - , .
(Advanced Video Coding AVC), - (JVT) H.264 (-) 10 MPEG-4 (ISO/IEC), , , 4:2:0. , AVC 2-2,5 - MPEG-2 [3].
, , , - (FRExt). 16 . - , . . - . , - , , - MPEG-2 AVC/H.264 [4]. , (3D-TV), - , H.264/SVC ( - Scalable Video Coding).
. 1 - . , , - . - , , . , , .. -
I.
61
. XXI . - - (HD) (HDTV). - , , (3D-) - (Ultra HDTV UHDTV Super Hi-Vision SHV), - .
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790 940
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790 1900
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1920x1080 H0 (2K)
4:2:2, 24
60,
2370
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3840x2160 H1(4K)
9490
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5760x3240 H2(6K)
4:4:4, 36 38400
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7680x4320 H3(8K)
68300
, . - (Future Video Coding High
.
62
Efficiency Video Coding HVC). , : -; -; - CABAC (); - ; - .
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63
, , () / ( , " ", . . 2).
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, 640480 13622170 0,09 352288 3659071 0,025 176144 740909 0.005
, . - , . , - . -. Texas Instruments. ( ) . 3 [6].
- . - - .
I.
65
1. Symes P. Digital Video Compression, Mc- Graw-Hill Companies, Inc., 2004. 2. Poynton C. Digital Video and HDTV Algorithms and Interfaces. 2003. 796 p. 3. Wiegand T., Sullivan G. J., Bjontegaard, Luthra A. Overview of the H.264/AVC Video Cod-
ing Standard, IEEE Trans. on CSVT, July 2003. 4. Kalva H. Issues in H.264/MPEG-2 Video Transcoding, Submitted to CCNC 04. 5. ., . -
// Mediavision. 2011. 2-5; 7-8. 6. . . .: -
, 2009. 480 .
..., .. .
; e-mail [email protected]; . , . 7, . 18; .: 84957481863; - ; ...; .
Tchobanou Mikhail Konstantinovich Federal State Unitary Enterprise "General Radio Fre-quency Centre"; e-mail [email protected]; 7, Derbenevskaya quay, p. 18, Moscow, Russia; phone: + 74957481863; deputy head of the division of research and development of digital com-munication systems; dr. of eng. sc.; professor.
.
66
II.
621.372
..
- -
P - () . - . SGB25VD - . 14- Cadence Virtuoso. .
- (); (); - ( ).
E.A. Zhebrun
PULSE-POTENTIAL ADCS OF MIXED SOC IN CMOS-BASIS
We consider the solution of analog-digital conversion based on the principle of the frequen-cy (pulse) transformation of initial physical quantities. The structural organization of the ADC provides a multichannel input into the area of microcontroller's RAM and evaluation of input quantity derivative. For technical process SGB25VD in CMOS-basis we developed principal schemes of basic ADC nodes. The simulation results of 14-bit ADC in Cadence Virtuoso are pre-sented. We made the conclusions and showed ways of accuracy improvenment.
Analog-digital converter (ADC); systems on chip (SoC); integral project blocks (IP blocks).
- () - -. . -, . sleep-, .
() - -. - - - , [1].
SiGe-,
II.
67
IHP (). - SGB25VD (), () . .
- - . - , , -. - () [2]. [3], -. - SGB25VD - , . 1.
r c
. 1. - () ()
- ()
() -
, - (2t
) .
:
, .( )u non x on
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E e t E
(1)
- .
- (=+=t3-t0) - , , ( ) - . , ex -
( ) .u nx onn
T Te t E
T
(2)
, [4].
- (), () (), () (. 1). , , , .
.
68
- (. 1), .
1
+, / -, / t
+, t-, U+, B U-, B f1,
9,8 2,1 2,2 4,2 2,5 4 1
- - - [5]. , - [6]. , 5 , .
- - . - , - (. 2) - - (. 2).
. 2. -
. - . ( Uy1 Uy2, . 1). - . 2.
2
K, , f1,
, (40Ct60C) Umax+, Umax
-, 0 160 1 60 2 3
II.
69
40 60 C E - 3, .
- : -. , . 120 , E = 60 , 8 - (. 3). ( 16 ) .
. 3.
. 4 . . 3.
. 4.
.
70
. 3 - ex ( 50 ) (500 ) . , - . . 3 - Cadence Virtuoso. - 14- -.
3
,
,
,
,
,
,
E0,
, %
, %
598,2 598,1 299,1 299,1 500 499,8 500 0,03 0,0010 598,2 598,1 373,9 373,8 300 300,0 500
II.
71
. ; e-mail: [email protected]; 347928, . -, . , 44; .: +79614038879; -; .
Zhebrun Eugeniy Andreevich Taganrog Institute of Technology Federal State-Owned Au-tonomy Educational Establishment of Higher Vocational Education Southern Federal Universi-ty; e-mail: [email protected]; 44 Nekrasovsky, Taganrog, 347928, Russia; phone. +79614038879; the department of automatic control systems; magister.
621.372.51
..
- . - - . , D-. SGB25VD - , Cadence Virtuoso.
; (); ; - .
A.V. Zolotarev
DRIFT FREE SPECTRUM LIMITERS WITH WIDENED OPERATING FREQUENCY RANGE
The principles of constructing Drift free limiter range with extension-cussed a range of op-erating frequencies on the basis of superemkosti. The efficiency of using multifferentsialnyh opera-tional amplifiers in the structure for the organization of chains superemkosti own compensation and minimize the parametric sensitivity of the ladder filter. It is shown that the use of chains and their own mutual compensation allows high frequency properties of D-elements. To process in a CMOS SGB25VD basis developed a schematic diagram of a ladder filter of third order, the results of modeling in Cadence Virtuoso.
Spectrum limiter; low pass filter (LPF); supercapacitance; multidifferentional operational amplifier.
(), - , ( ), . , , - (MEMS). MEMS - - , (-
.
72
), , (), . , MEMS , . - MEMS - , -. . () [1].
. , () - , , , , , (). - - -. D- () [1],
i iY p C C R k R (1)
iR ; k . D-.
, , . , (. 1) - D- - .
. 1.
MAXU
, ( 1 )
MAXU , ( 1 ), (2)
j MAXj
jFmax , ( ); MAXj
jF - j- .
, -. - .
II.
73
. j- Hj(p) . D- Fj(p) Hj(p)
pF1 =1
1
11
212
2
p
p, pF2 = ;
11
1
212
2
p
p (3)
pH1 =1
111
212
2
p
p, pH 2 =
11
11
212
1
p
p. (4)
(3) , , (2), - , . .
. - D- , . , [2], - . - C1, :
11
1)(
212
2212
1
p
ppFpw Ck , (5)
11
)(
212
1221
2
2
p
pp
Fpw Ck , (6)
0,5 ( 43 RR ) , -
,11
2 12
2
1
21
P
P
PP . (7)
12 fi . ,
1
2
212
121
p
pFFF CCqC , (8)
. . 2 - .
(
I
) 2
( ) U I R I R R
(9) .
.
74
. 2.
, 1 2 5,0
( )( ) ( )
( )
p pB p
B p
( ) ( ) ( ) ( )p p
( ) ( ) ,p p
(10)
( )B p D-, ( )B p . D- -
1 2 , - - , 1 2 .
.3 , D- .
, 0=1, 1 2 -. (10), 1 2 1=2=1, R5, C3 ( ).
. - , [3], - , [4], - SGB25VD - , . 1.
II.
75
. 3. 1
1f ,
+ /
K
_ f
E ,
140 260 340 150 14 3,5
:
, 1f -
, + ,
K -
, _ f -
,
E , U.max+ - .
. 4. : ;
.
76
. 3 , -- (. . 4) ( B). - . 2 ( ). , 0,1. , - 2 , - . , - . , 40 - 10 .
, - .
1. .. -. .: ,1999. 416 .
2. .. - - // - . 2008. C. 348-353.
3. .. .. // . 2003. C. 125-137.
4. Krutchinskiy S.G., Tsibin M.S., Titov A.E. Common-mode signal minimization in differential stage. EWDTS-2010, St.Petersburg, Russia, 2006. P. 242-245.
..., .. .
- - . ; e-mail: [email protected]; 347900, . , 3- , 91; .: 88634371773; .
Zolotarev Anton Vladimirovich Taganrog Institute of Technology Federal State-Owned Auton-omy Educational Establishment of Higher Vocational Education Southern Federal University; e-mail: [email protected]; 91, 3rd line, Taganrog, 347900, Russia; phone: +78634371773; magister.
621.372
..
, . - . , - . .
; ; , ; - ; .
II.
77
G.A. Svizev
ENERGY-EFFICIENT ANALOG CONDITIONERS OF PRECISION SENSORS FOR MIXED SOC AND SIP
The comprehensive requirements for new generation of energy-effective sensor conditioners, focused on the interaction with the modern high-precision sensors are given. The perspectiveness and the possibility of interface integration in mixed-signal SoC and SiP for local control and diag-nostic systems are substantiated. Structural and circuit approaches for meeting the presented to interface requirements are highlighted. The results of modeling are given.
Precision energy-efficient CMOS analog sensor conditioner; mixed-signal SoC and SiP, MEMS; precision wideband multidifferential O; spectrum limiter; derivative estimation.
, , - , - . - . - - (-) () () - . () - , . , . , , .
. -, , . - -. , - - (SiGe) (, - SGB25), () - , - (, ) -- .
, - [13] , - . , - .
. - (). . [4] - () - , - - , , - 3 . [5] -
.
78
. , [13] -, - . - SGB25VD. , - Cadence Virtuoso, . 1. () - .
. - (. 1). () 1. , -
4
41
RK
r , U E K ,
KK
K , (1)
, (. 1). ()
( R1 R3, C1 C3, 2) , - - () . , 1 (. 1) -- ()
0 3 22 1 0
aF p
p p a pa a
, (2)
g gg ga
C C
, g g g g g g g
aC C C C
g g ga
C C C
,
g R , g R
, g R
(1) . (< 1/2n+1, n ) , :
1 2 3R R R R , 1 3C C C , 2C hC . (3)
1
,
f1,
v, /
,
f.,
,
, /
U.max,
U.,
I0,
125 130 30 190 3,8 0,04 0,0015 2,8 5 6
: , f1 - , v , - , f. , -, , U.max , U. , I0 .
II.
79
22 1h
aRCh
, 1 2 2
4a
R C h , 0 3 3
1a
R C h , (4)
. (2) - .
. 1.
(f1) 2,
21 2f f h , (5)
f . - .
(-) . , f, - . , 0 f f/h - .
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.
80
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, -
4 41 (1 ) u R r u , (6) u .
(R3, C3) 3 - ,
31
2
uu k
t
, (7)
51k R r , 3 3 3 R C .
03
2
1t
R
R Ru E
t
, (8)
Rt0 t = 0, R -.
- - R-2R-, -
1
1
12
nii
iK
, (9)
i R-2R. Cadence Virtuoso. -
PGA309 Texas Instruments, . . 2, - ( ) .
II.
81
2
f,
,
,
, /
v, /
N1, bit
N2, bit
,
50 25 158* 0,04 0,0015 30 12 8 5 PGA309 56 3 0,2 0,5
: , f , -, , , v , N1, N2 , - ;
* = 50.
- - (190 ), (0,04 ) (0,0015 /.) . - , (12 bit). (8 bit) . - - SGB25VD . - . - - .
1. .., .., .., .. - // VIII - . : , 2011. C. 47-58.
2. .., .., .., .. - - // VIII - . : , 2011. C. 59-72.
3. .., .., .., .. - - // VIII - - . : , 2011. C. 73-87.
4. .., .. // - . 2004. 20. . 37-45.
5. .. - // - , - - . .: - "", 2011. . 292-297.
..., .. .
.
82
- . ; e-mail: [email protected]; 347928, . , . , 22; .: +79526036933; .
Svizev Grigory Albertovich Taganrog Institute of Technology Federal State-Owned Autono-my Educational Establishment of Higher Vocational Education Southern Federal University; e-mail: [email protected]; 22, Chekhova street, Taganrog, 347928, Russia; phone: +79526036933; magister.
621.372
..
- , , , . - PSpice.
; ; - ; ; .
A.E. Titov
RADIATION-RESISTANT TWO-CHANNEL INSTRUMENTATION AMPLIFIER ON THE BASE MOA
Design of radiation-resistant instrumentation amplifiers requires application not only radia-tion-resistant technologies, but also effective circuit decisions directed on stabilization of work of the device in the radiating influence conditions neutron flux, radiation dose, temperature. In work results of designing of the radiation-resistant instrumentation amplifier on the base multidifferetial operational amlifiers for techniques analogue base matrix chip ABMC and results of modeling in the PSpice environment are presented.
Radiation-resistant instrumentation amplifier; the minimum zero drift; CMRR; radiation; neutron flux.
- - - ( ) (), - () () -, , . , - (-) . , - - - - (), - [1]. -
II.
83
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(2)
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2
2out_1
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RUU,U
r
RUU , (3)
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. [3] ,
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.
84
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1
2
RRK 2(1 2 ) ,
r R (4)
1R , 2R p-JFet -
[4]. - 3.
. 2.
. 3.
II.
85
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1) - , - , , ;
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r
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.