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1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Page 1: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

1

Digital Communication SystemsLecture 5, Prof. Dr. Habibullah Jamal

Under Graduate, Spring 2008

Page 2: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

2

Chapter 4: Bandpass Modulation and Demodulation

Bandpass Modulation is the process by which some characteristics of a sinusoidal waveform is varied according to the message signal.

Modulation shifts the spectrum of a baseband signal to some high frequency.

Demodulator/Decoder baseband waveform recovery

Page 3: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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4.1 Why Modulate?

Most channels require that the baseband signal be shifted to a higher frequency

For example in case of a wireless channel antenna size is inversely proportional to the center frequency, this is difficult to realize for baseband signals. For speech signal f = 3 kHz =c/f=(3x108)/(3x103) Antenna size without modulation /4=105 /4 meters = 15 miles - practically

unrealizable Same speech signal if amplitude modulated using fc=900MHz will require

an antenna size of about 8cm. This is evident that efficient antenna of realistic physical size is needed for

radio communication system

Modulation also required if channel has to be shared by several transmitters (Frequency division multiplexing).

Page 4: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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4.2 Digital Bandpass Modulation Techniques

Three ways of representing bandpass signal: (1) Magnitude and Phase (M & P)

Any bandpass signal can be represented as:

A(t) ≥ 0 is real valued signal representing the magnitude Θ(t) is the genarlized angle φ(t) is the phase

The representation is easy to interpret physically, but often is not mathematically convenient

In this form, the modulated signal can represent information through changing three parameters of the signal namely: Amplitude A(t) : as in Amplitude Shift Keying (ASK) Phase φ(t) : as in Phase Shift Keying (PSK) Frequency dΘ(t)/ dt : as in Frequency Shift Keying (FSK)

)](cos[)(cos[)()( 0 tttAttAts

Page 5: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

5

0( ) ( ) cos( ( )) ( ) cos( )s t A t t A t t

0

)()(

dt

tdti

dtt

i )()(

Consider a signal with constant frequency:

Its instantaneous frequency can be written as:

or

Angle Modulation

Page 6: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

6

Consider a message signal m(t), we can write the phase modulated signal as

)()( tmKtt pc

)](cos[)( tmKtAts pcPM

)()( tmKdt

dt pci

Phase Shift Keying (PSK) or PM

Page 7: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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In case of Frequency Modulation

0( ) ( )i ft K m t

0( ) [ ( )]t

ft K m t d

0 ( )t

ft K m d

0

0

( ) cos[ ( ) ]

cos[ ( )]

t

FM f

f

s t A t K m d

A t K a t

where:

( ) ( )t

a t m d

Frequency Shift Keying (FSK) or FM

Page 8: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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0 0.05 0.1 0.15-1

-0.5

0

0.5

1

The message signal

0 0.05 0.1 0.15

-1

-0.5

0

0.5

1

Time

The modulated signal

Example

Page 9: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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4.2.1 Phasor Representation of Sinusoid

Consider the trigonometric identity called the Euler’s theorem:

Using this identity we can have the phasor representation of the sinusoids. Figure 4.2 below shows such relation:

00 0cos( ) sin( )j te t j t

Page 10: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Phasor Representation of Amplitude Modulation

Consider the AM signal in phasor form:

0( ) Re 12 2

m mj t j tj t e e

s t e

Page 11: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

13

Phasor Representation of FM

Consider the FM signal in phasor form:

0( ) Re 12 2 2

m

m m

j tj t j t j t es t e e e

Page 12: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Digital Modulation Schemes

Basic Digital Modulation Schemes: Amplitude Shift Keying (ASK) Frequency Shift Keying (FSK) Phase Shift Keying (PSK) Amplitude Phase Keying (APK)

For Binary signals (M = 2), we have Binary Amplitude Shift Keying (BASK) Binary Phase Shift Keying (BPSK) Binary Frequency Shift Keying (BFSK)

For M > 2, many variations of the above techniques exit usually classified as M-ary Modulation/detection

Page 13: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Figure4.5: digital modulations, (a) PSK (b) FSK (c) ASK (d) ASK/PSK (APK)

Page 14: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Amplitude Shift Keying

Modulation Process In Amplitude Shift Keying (ASK),

the amplitude of the carrier is switched between two (or more) levels according to the digital data

For BASK (also called ON-OFF Keying (OOK)), one and zero are represented by two amplitude levels A1 and A0

Page 15: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Analytical Expression:

where Ai = peak amplitude

Hence,

where

00,0

10),cos()(

binaryTt

binaryTttAts ci

)cos(2)cos(2)cos()( 02

00 tAtAtAtsrmsrms

R

VPt

T

EtP

2

00 )cos(2

)cos(2

1,......2,0,00,0

10),cos()(2

)( MibinaryTt

binaryTttT

tEts i

i

i

1,......2,0,)(0

2 MidttsET

i

Page 16: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Where for binary ASK (also known as ON OFF Keying (OOK))

Mathematical ASK Signal Representation The complex envelope of an ASK signal is:

The magnitude and phase of an ASK signal are:

The in-phase and quadrature components are:

the quadrature component is wasted.

10),cos()()(1 binaryTtttmAts cc 00,0)(0 binaryTtts

)()( tmAtg c

0)(),()( ttmAtA c

)()( tmAtx c

,0)( ty

Page 17: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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• It can be seen that thebandwidth of ASKmodulated is twice thatoccupied by the sourcebaseband stream

Bandwidth of ASK Bandwidth of ASK can be found from its power spectral density The bandwidth of an ASK signal is twice that of the unipolar NRZ

line code used to create it., i.e.,

This is the null-to-null bandwidth of ASK

bb TRB

22

Page 18: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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If raised cosine rolloff pulse shaping is used, then the bandwidth is:

Spectral efficiency of ASK is half that of a baseband unipolar NRZ line code This is because the quadrature component is wasted

95% energy bandwidth

bb RrWRrB )1(2

1)1(

bb

RT

B 33

Page 19: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Detectors for ASKCoherent Receiver

Coherent detection requires the phase information A coherent detector mixes the incoming signal with a locally generated

carrier reference Multiplying the received signal r(t) by the receiver local oscillator (say

Accos(wct)) yields a signal with a baseband component plus a component at 2fc

Passing this signal through a low pass filter eliminates the high frequency component In practice an integrator is used as the LPF

Page 20: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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The output of the LPF is sampled once per bit period This sample z(T) is applied to a decision rule

z(T) is called the decision statistic Matched filter receiver of OOK signal

A MF pair such as the root raised cosine filter can thus be used to shape the source and received baseband symbols

In fact this is a very common approach in signal detection in most bandpass data modems

Page 21: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Noncoherent Receiver Does not require a phase reference at the receiver If we do not know the phase and frequency of the carrier, we can

use a noncoherent receiver to recover ASK signal Envelope Detector:

The simplest implementation of an envelope detector comprises a diode rectifier and smoothing filter

Page 22: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Frequency Shift Keying (FSK) In FSK, the instantaneous carrier frequency is switched between 2 or

more levels according to the baseband digital data data bits select a carrier at one of two frequencies the data is encoded in the frequency

Until recently, FSK has been the most widely used form of digital modulation;Why? Simple both to generate and detect Insensitive to amplitude fluctuations in the channel

FSK conveys the data using distinct carrier frequencies to represent symbol states

An important property of FSK is that the amplitude of the modulated wave is constant

Waveform

Page 23: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Analytical Expression

General expression is

Where

1,....1,0),cos(2

)( MitT

Ets i

s

si

formAnalog)()(

])([)(

0

0

tmfftdt

df

dmtt

dii

t

di

bsbsi kTTkEEandfiff ,0

1 ii fff

1,....1,0),22cos(2

)( 0 MiftitfT

Ets

s

si

Page 24: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Binary FSK In BFSK, 2 different frequencies, f1 and f2 = f1 + ∆ f are used to

transmit binary information

Data is encoded in the frequencies That is, m(t) is used to select between 2 frequencies: f1 is the mark frequency, and f2 is the space frequency

bb

s TtfT

Ets 0),(2cos

2)( 110

bb

s TtfT

Ets 0),(2cos

2)( 221

Page 25: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

32

01)(),cos(

11)(),cos()(

22

11

nc

nc

XortmwhentA

XortmwhentAts

Binary Orthogonal Phase FSK

When w0 an w1 are chosen so that f1(t) and f2(t) are orthogonal, i.e.,

form a set of K = 2 basis orthonormal basis functions

0)()( 21

tt

Page 26: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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General expression is

Where

1,....1,0)],(2cos[2

)( 0 MittfT

Ets i

s

si

Phase Shift Keying (PSK)

1,....1,02

)( MiM

iti

Page 27: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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3. Coherent Detection of Binary FSK

Coherent detection of Binary FSK is similar to that for ASK but in this case there are 2 detectors tuned to the 2 carrier frequencies

Recovery of fc in receiver is made simple if the frequency spacing between symbols is made equal to the symbol rate.

Page 28: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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One of the simplest ways of detecting binary FSK is to pass the signal through 2 BPF tuned to the 2 signaling freqs and detect which has the larger output averaged over a symbol period

Non-coherent Detection

Page 29: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Phase Shift Keying (PSK)

In PSK, the phase of the carrier signal is switched between 2 (for BPSK) or more (for MPSK) in response to the baseband digital data

With PSK the information is contained in the instantaneous phase of the modulated carrier

Usually this phase is imposed and measured with respect to a fixed carrier of known phase – Coherent PSK

For binary PSK, phase states of 0o and 180o are used

Waveform:

Page 30: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Analytical expression can be written as

where g(t) is signal pulse shape A = amplitude of the signal ø = carrier phase

The range of the carrier phase can be determined using

For a rectangular pulse, we obtain

( ) ( ) cos[ ( )], 0 , 1,2,....,i c i bs t A g t t t t T i M

bbb

EAassumeandTtT

tg ;0,2

)(

MiM

iti ,....1

)1(2)(

Page 31: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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We can now write the analytical expression as

In PSK the carrier phase changes abruptly at the beginning of each signal interval while the amplitude remains constant

MiandTtM

it

T

Ets bc

b

bi ,....2,1,0,

)1(2cos

2)(

carrier phase changes abruptly at the beginning of each signal interval

Constant envelope

Page 32: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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We can also write a PSK signal as:

Furthermore, s1(t) may be represented as a linear combination of two orthogonal functions ψ1(t) and ψ2(t) as follows

Where

M

it

T

Ets ci

)1(2cos

2)(

tM

it

M

i

T

Ecc

cossin)1(2

sincos)1(2

cos2

)()1(2

sin)()1(2

cos)( 21 tM

iEt

M

iEtsi

]sin[2

)(]cos[2

)( 21 tT

tandtT

t cc

Page 33: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Using the concept of the orthogonal basis function, we can represent PSK signals as a two dimensional vector

For M-ary phase modulation M = 2k, where k is the number of information bits per transmitted symbol

In an M-ary system, one of M ≥ 2 possible symbols, s1(t), …, sm(t), is transmitted during each Ts-second signaling interval

The mapping or assignment of k information bits into M = 2k possible phases may be performed in many ways, e.g. for M = 4

21

)1(2sin,

)1(2cos)(

M

iE

M

iEts bbi

Page 34: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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A preferred assignment is to use “Gray code” in which adjacent phases differ by only one binary digit such that only a single bit error occurs in a k-bit sequence. Will talk about this in detail in the next few slides.

It is also possible to transmit data encoded as the phase change (phase difference) between consecutive symbols This technique is known as Differential PSK (DPSK)

There is no non-coherent detection equivalent for PSK except for DPSK

Page 35: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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M-ary PSK

In MPSK, the phase of the carrier takes on one of M possible values

Thus, MPSK waveform is expressed as

Each si(t) may be expanded in terms of two basis function Ψ1(t) and Ψ2(t) defined as

MiM

iti ,.....,2,1,

)1(2)(

M

it

T

Etsi

)1(2cos

2)( 0

M

ittgtsi

)1(2cos)()( 0

...........

1616

88

4

2

2

PSK

PSK

QPSK

BPSK

MPSKM k

,cos2

)(1 tT

t cs

,sin2

)(2 tT

t cs

Page 36: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Quadrature PSK (QPSK)

Two BPSK in phase quadrature QPSK (or 4PSK) is a modulation technique that transmits 2-bit of

information using 4 states of phases For example

General expression:

2-bit Information ø

00 0

01 π/2

10 π

11 3π/2

Each symbol corresponds

to two bits

scs

sQPSK Tti

M

itf

T

Ets

04,3,2,1,)1(2

2cos2

)(

Page 37: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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The signals are:

)cos(2

0 tT

Es c

s

s )sin(2

)2

cos(2

1 tT

Et

T

Es c

s

sc

s

s

)cos(2

)cos(2

2 tT

Et

T

Es c

s

sc

s

s

)sin(2

)2

3cos(

23 t

T

Et

T

Es c

s

sc

s

s

002,0 1800f,cos

2)( andoshiftt

T

Ets c

s

s

003,1 27090f,sin

2)( andoshiftt

T

Ets c

s

s

Page 38: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

45

scs

sQPSK Tti

M

it

T

Ets

04,3,2,1,

4

)1(2cos

2)(

We can also have:

Page 39: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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One of 4 possible waveforms is transmitted during each signaling interval Ts i.e., 2 bits are transmitted per modulation symbol → Ts=2Tb)

In QPSK, both the in-phase and quadrature components are used The I and Q channels are aligned and phase transition occur once

every Ts = 2Tb seconds with a maximum transition of 180 degrees From

As shown earlier we can use trigonometric identities to show that

M

itf

T

Ets c

s

sQPSK

)1(22cos

2)(

)sin()1(2

sin2

)cos()1(2

cos2

)( tM

i

T

Et

M

i

T

Ets c

s

sc

s

sQPSK

Page 40: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

47

In terms of basis functions

we can write sQPSK(t) as

With this expression, the constellation diagram can easily be drawn For example:

tfT

tandtfT

t cs

cs

2sin2

)(2cos2

)( 21

)()1(2

sin)()1(2

cos)( 21 tM

iEt

M

iEts ssQPSK

Page 41: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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Coherent Detection1. Coherent Detection of PSK Coherent detection requires the phase information A coherent detector operates by mixing the incoming data signal

with a locally generated carrier reference and selecting the difference component from the mixer output

Multiplying r(t) by the receiver LO (say A cos(ωct)) yields a signal with a baseband component plus a component at 2fc

The LPF eliminates the high frequency component The output of the LPF is sampled once per bit period The sampled value z(T) is applied to a decision rule

z(T) is called the decision statistic

Page 42: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

49

Matched filter receiver

A MF pair such as the root raised cosine filter can thus be used to shape the source and received baseband symbols

In fact this is a very common approach in signal detection in most bandpass data modems

Page 43: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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2. Coherent Detection of MPSK

QPSK receiver is composed of 2 BPSK receivers one that locks on to the sine carrier and the other that locks onto the cosine carrier

tAt 01 cos)(

tAt 02 sin)(

2

0 0 1 0 0 00 0( ) ( ) ( ) ( cos ) ( cos )

2

s sT TsA T

z t s t t dt A t A t dt L

1 0 2 0 00 0( ) ( ) ( ) ( cos ) ( sin ) 0

s sT Tz t s t t dt A t A t dt

Page 44: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

51

If

Decision:1. Calculate zi(t) as

2. Find the quadrant of (Z0, Z1)

Output S0(t) S1(t) S2(t) S3(t)

Z0 Lo 0 -Lo 0

Z1 0 -Lo 0 Lo

)45cos()()45cos()( 0201oo tAtandtAt

Output S0(t) S1(t) S2(t) S3(t)

Z0 Lo -Lo -Lo Lo

Z1 Lo Lo -Lo -Lo

dtttrtz i

T

i )()()(0

4cos

2

2

0

sTAL

Page 45: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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A coherent QPSK receiver requires accurate carrier recovery using a 4th power process, to restore the 90o phase states to modulo 2π

Page 46: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

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4.3 Detection of Signals in Gaussian Noise

Detection models at baseband and passband are identical Equivalence theorem (for linear systems):

Linear signal processing on passband signal and eventual heterodyning to baseband is equivalent to first heterodyning passband signal to baseband followed by linear signal processing

Where

Heterodyning = Process resulting in spectral shift in signal e.g. mixing

Performance Analysis and description of communication systems is usually done at baseband for simplicity

Page 47: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

54

4.3.2 Correlation Receiver

T

0

T

0

comparator selectssi(t)

with max zi(t)

Decision Stage

reference signal

......

......

)(1 t

)(tM

dtttrTzT

)()()( 101

dtttrTz M

T

M )()()(0

T

0

T

0

comparator selectssi(t)

with max zi(t)

)(ˆ tsi

Decision Stage)(1 ts

reference signal

)(tsM

......

......

dttstrTzT

)()()( 101

dttstrTz M

T

M )()()(0

)()()( tntstr i

)(ˆ tsi)()()( tntstr i

Page 48: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

55

4.4 Coherent Detection 4.4.1 Coherent Detection of PSK Consider the following binary PSK example

n(t) = zero-mean Gaussian random process

Where φ : phase term is an arbitrary constant

E: signal energy per symbol

T: Symbol duration Single basis function for this antipodal case:

TttT

Ets 0)cos(

2)( 01

)cos(2

)( 02 tT

Ets )cos(

20 t

T

E

TtfortT

t 0cos2

)( 01

Page 49: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

56

)()()( 11 ttats ii

Transmitted signals si(t) in terms of ψ1(t) and coefficients ai1(t) are

Assume that s1 was transmitted, then values of product integrators with reference to ψ1 are

)()()()( 11111 tEttats

)()()()( 11212 tEttats

T

dtttntEEszE0 1

211 )()()(|

1

T

dtttntEEszE0 1

212 )()()(|

1

Page 50: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

57

where E{n(t)}=0

Decision stage determines the the location of the transmitted signal within the signal space

For antipodal case choice of ψ1(t) = √2/T cosw0t normalizes E{zi(T)} to ±√E

Prototype signals si(t) are the same as reference signals ψj(t) except for normalizing scale factor

Decision stage chooses signal with largest value of zi(T)

EdttT

tntET

EszET

0 002

11 cos2

)(cos2

|

EdttT

tntET

EszET

0 002

12 cos2

)(cos2

|

Page 51: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

58

4.4.2 Sampled Matched Filter

The impulse response h(t) of a filter matched to s(t) is:

Let the received signal r(t) comprise a prototype signal si(t) plus noise n(t)

Bandwidth of the signal is W =1/2T where T is symbol time then Fs= 2W = 1/T

Sample at t =kTs . This allows us to use discrete notation:

Let ci(n) be the coefficients of the MF where n is the time index and N represents the samples per symbol

elsewhere

TttTsth

0

0)()(

,...1,02,1)()()( kiknkskr i

])1[()( nNsnc ii

(eq 4.26)

(eq 4.27)

Page 52: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

59

Discrete form of convolution integral suggests

Since noise is assumed to have zero mean, so the expected value of a received sample is:

Therefore, if si(t) is transmitted, the expected MF output is:

Combining eq (4.27) and (eq 4.29) to express the correlator outputs at time k = N –1 = 3:

Nmodulo,.....,1,0)()()(1

0

Kncnkrkz i

N

ni

2,1)()( ikskrE i

Nmodulo,.....,1,0)()()(1

0

KncnkskzE i

N

nii

(eq 4.28)

(eq 4.29)

3

1 1 10

( 3) (3 ) ( ) 2n

z k s n c n

3

2 1 20

( 3) (3 ) ( ) 2n

z k s n c n

(eq 4.30a) (eq 4.30b)

Page 53: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

60

Sampled Matched Filter

Fig 4.10

Page 54: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

61

4.4.3 Coherent Detection of MPSK The signal space for a multiple phase-shift keying (MPSK) signal set

is illustrated for a four-level (4-ary) PSK or quadriphase shift keying(QPSK)

Fig 4.11

Page 55: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

62

At the transmitter, binary digits are collected two at a time for each symbol interval

Two sequential digits instruct the modulator as to which of the four waveforms to produce

si(t) can be expressed as:

where:

E: received energy of waveform over each symbol duration T

w0: carrier frequency

Assuming an ortho-normal signal space, the basis functions are:

tT

t 01 cos2

)(

Mi

Tt

M

it

T

Etsi ,...1

0)

2cos(

2)( 0

tT

t 02 sin2

)(

Page 56: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

63

si(t) can be written in terms of these orthonormal coordinates:

The decision rule for the detector is: Decide that s1(t) was transmitted if received signal vector fall in

region 1 Decide that s2(t) was transmitted if received signal vector fall in

region 2 etc i.e choose ith waveform if zi(T) is the largest of the correlator

outputs The received signal r(t) can be expressed as:

Mi

Tttatats iii ,...1

0)()()( 2211

)(2

sin)(2

cos 21 tM

iEt

M

iE

Mi

Tttntt

T

Etr ii ,...1

0)(sinsincoscos

2)( 00

Page 57: 1 Digital Communication Systems Lecture 5, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008

64

The upper corelator computes

The lower corelator computes

dtttrXT

)()( 10

dtttrYT

)()( 20

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The computation of the received phase angle φ can be accomplished by computing the arctan of Y/XWhere:X: is the inphase component of the received signalY: is the quadrature component of the received signal ǿ: is the noisy estimate of the transmitted φi

The demodulator selects the φi

that is closest to the angle ǿ

Or it computes | φi - ǿ | for each φi

prototypes and chooses φi yielding smallest output

Fig 4.13

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4.4.4 Coherent Detection of FSK FSK modulation is characterized by the information in the frequency

of the carrier Typical set of FSK signal waveform:

Where Φ: is an arbitrary constant

E: is the energy content of si(t) over each symbol duration T

(wi+1- wi): is typically assumed to be an integral multiple of λ/T

Assuming the basis functions form an orthonormal set:

Amplitude √2/T normalizes the expected output of the MF

Mi

Ttt

T

Ets ii ,...1

0)cos(

2)(

NjtT

t jj ,....,1cos2

)(

dttT

tT

Ea ji

T

ij )cos(2

)cos(2

0

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67

Therefore

This implies, the ith prototype signal vector is located on the ith

coordinate axis at a displacement √E from the origin of the symbol space

For general M-ary case and given E, the distance between any two prototype signal vectors si and sj is constant:

otherwise

jiforEaij

0

jiforEssssd jiji 2||||),(

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Signal space partitioning for 3-ary FSK