Linear Array - Two element array, N-element linear array- broadside array, End fire array- Directivity, radiation pattern. pattern multiplication. Non-uniform excitation- Binomial, Chebyshev distribution Planar array – Array factor, Circular array - array factor, Directivity (Qualitative study)Unit IV Design of Antennas

Wire Antennas- long wire, V-Antenna, Rhombic antenna, Helical antenna, Yagi-Uda antenna. Frequency independent antenna - spiral and log periodic antenna. Aperture antennas - Horn antenna, Parabolic reflector antenna, Microstrip antenna. MEMS antenna. Unit V Antennas for Modern Wireless Communications

(Qualitative study)Antennas for Terrestrial mobile communication - mobile handsets and base stations. Antennas for Satellite Communication- MSAT briefcase terminal and vehicle mounted antennas, VSAT and DBS TV antennas. Antenna for Radar systems. Adaptive antenna, RFID antenna, Ultra wideband antenna, Terahertz antenna.Text Books

1. Balanis, “Antenna Theory - Analysis and Design”, 3/e, John Wiley & Sons, 2005.2. J.D.Krauss, “Antenna for all Applications”, TMH, 4/e, 2010

Reference Books

1. S.R.Saunders, “Antennas and Propagation for Wireless Communication”, 2/e,John Wiley, 2007.

2. Yi Huang and Kevin Boyle, “Antenna From Theory to Practice”, 1/e, John Wiley, 2008

3. R.S.Elliot, “Antenna Theory and Design”, IEEE Press, John Wiley, 2005.4. H. Jasik , “Antenna Engineering Handbook” , Editor, McGraw-Hill, 19615. R.L.Freeman, “Reference Manual for Telecommunication engineering”, Vol. I, John

Wiley, 2002.6. Yi Huang and Kevin Boyle, “Antenna From Theory to Practice”, 1/e, John Wiley,

2008Mode of Evaluation CAT- I & II, Quizzes, Assignments/ other tests, Term End

ExaminationDate of Approval by the Academic Council: 29th Academic council dated on 26.4.13

ECE305 DIGITAL COMMUNICATION 3 0 2 4Version No. 1.2Prerequisite ECE203 MODULATION TECHNIQUESObjectives Describe the basic concept of Digital Communication using Functional

Block DiagramAnalyze the performance of different types of encoding schemes such as Temporal Waveform Coding and power spectral density of different signaling schemes.Analyze the performance of digital modulation and demodulation techniques and identify suitable modulation and demodulation technique for different applications based on bandwidth, data-rate and bit error rate.

49

Illustrate the role of ISI in base band reception techniques and show the working of Correlation Receiver and Matched Filter.Illustrate Spread Spectrum Techniques and Multiple Access Techniques.

Expected Outcome 1. Explain the basics of Digital Communication systems.2. Classify the different type of encoding schemes and derive the

power spectral density of different signaling schemes.3. Justify the role of Digital Modulation and Demodulation techniques

in different application.Unit I Communication SystemCommunication Systems - Digital Communication Systems – Functionality of Blocks, Medium classification, Performance Measure; Geometric representation of Signals, Bandwidth , Mathematical Models of Communication ChannelUnit II Baseband Formatting TechniquesOverview of Sampling, Quantization – Uniform and Non-uniform (A-law & μ-law), Encoding Techniques for Analog Sources - Temporal waveform encoding, Spectral waveform encoding, Model-based/ Parametric encoding, Comparison of speech encoding techniques. Classification of line codes, characteristics and power spectra of line codesUnit III Baseband Reception TechniquesNoise in Communication Systems; Receiving Filter – Correlation type, Matched Filter type; Equalizing Filter - Signal and system design for ISI elimination, Eye Pattern analysisUnit IV Bandpass Signal Transmission And ReceptionMemory less modulation methods – BASK, BFSK, BPSK, DPSK and QPSK; Representation and Spectral Characteristics; Error performance – Coherent and Non-coherent detection systems; Non Linear Modulation Methods with memory – CPFSK, MSK and GMSK.Unit V Spread Spectrum TechniquesIntroduction – Generation of PN Sequences – Properties of PN Sequences – Direct Sequence Spread Spectrum – Frequency Hopped SpectrumUnit VI Multiple Access TechniquesIntroduction – TDM/TDMA – FDM/FDMA – CDMA – SDMA - OFDM/OFDMA Text BooksSimon Haykin, “Digital Communication”, John Wiley, 2009Reference Books

1. John.G. Proakis, “Fundamentals of Communication Systems”, Pearson Education, 2006

2. Amitabha Bhattacharya, “Digital Communications”, Tata McGraw Hill, 20063. Herbert Taub & Donald L Schilling – Principles of Communication Systems (3rd

Edition) – Tata McGraw Hill, 20084. Digital Communications by John Proakis,Masoud Salehi , 5th edition McGraw-Hill; - 2007

Mode of Evaluation CAT- I & II, Quizzes, Assignments/ other tests, Term End Examination

ECE305 DIGITAL COMMUNICATION LAB 3 0 2 4Version No. 1.2Prerequisite ECE203 MODULATION TECHNIQUESList of Experiments

50

1. Comparative Study of Pulse Code Modulation and Differential Pulse Code

Modulation.

2. Comparative study of Delta Modulation and Adaptive Delta modulation.

3. Simulation of Band Pass Signal Transmission and Reception

• Amplitude Shift Keying

• Frequency Shift Keying

• Phase Shift Keying.

4. Performance Analysis of Band Pass Signal Transmission and Reception

• Amplitude Shift Keying

• Frequency Shift Keying

• Phase Shift Keying.

5. Implementation of Amplitude Shift Keying

6. Implementation of Frequency Shift Keying

7. Implementation of Phase Shift Keying.

8. Time Division Multiplexing: PLL (CD 4046) based synch, clock and data extraction

9. Generation of PN Sequences

10. Simulation of Direct Sequence Spread Spectrum

11. Simulation of Frequency Hopped Spread Spectrum

12. Study of TDMA, FDMA and CDMA

13. Study of Orthogonal Frequency Division Multiplexing

ECE307 INFORMATION THEORY AND CODING 3 0 0 3Version No.Prerequisite ECE305 DIGITAL COMMUNICATIONObjectives Describe and analyze the information source and channel capacity

Differentiate between the uniform and non-uniform quantizationAnalyze the source coding techniques such as Shanan Fano Encoding, Huffman Coding, Arithmetic Coding.Apply statistical techniques for signal detectionConstruct the various channel coding schemes such as block codes, cyclic codes and convolutional codes.

Expected Outcome 3.Apply mathematical models that describes the behavior of information source and channel capacity and the performance of source coding and channel coding techniques

51

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