DOC

CO1651 MOBILE COMMUNICATION NETWORKS 3 0 0 100

By Patricia Black,2014-03-26 17:42
7 views 0
Conformance testing methodology and frame work, Conformance test EMI/EMC concepts and definitions, Sources of EMI, conducted and radiated EMI,

    ANNA UNIVERSITY TIRUNELVELI

    M.E. COMMUNICATION SYSTEMS

    CURRICULUM 2005 - FULL TIME MODE

    SEMESTER I

    Course Title L T P M Code No.

    Theory

    MA1616 Applied Mathematics for Electronics Engineers 3 1 0 100 CO1601 Advanced Radiation Systems 3 0 0 100 CO1602 Modern Digital Communication Techniques 3 0 0 100 AN1601 Advanced Digital Signal Processing 3 1 0 100 CO1603 Optical Communication Networks 3 0 0 100 E1*** Elective I 3 0 0 100 Practical

    CO1604 Communication System Lab I 0 0 4 100

    SEMESTER II

    Course Title L T P M Code No.

    Theory

    CO1651 Mobile Communication Networks 3 0 0 100 WS1621 Multimedia Compression Techniques 3 0 0 100 CO1652 Microwave Integrated Circuits 3 0 0 100 CO1653 Satellite Communication 3 0 0 100 E2*** Elective II 3 0 0 100 E3*** Elective III 3 0 0 100 Practical

    CO1654 Communication System Lab II 0 0 4 100

    SEMESTER III

    Course Title L T P M Code No.

    Theory

    E4*** Elective IV 3 0 0 100 E5*** Elective V 3 0 0 100 E6*** Elective VI 3 0 0 100 Practical

    CO1751 Project Work (Phase I) 0 0 12 *

    SEMESTER IV

    Course Title L T P M Code No.

    CO1751 Project Work (Phase II) 0 0 24 * * As per Regulations 2005

    LIST OF ELECTIVES

    M.E. COMMUNICATION SYSTEMS

    Course Title L T P M Code No.

    CO1621 RF System Design 3 0 0 100 CO1622 Advanced Microwave Systems 3 0 0 100 CO1623 Communication protocol Engineering 3 0 0 100 CO1624 DSP Processor Architecture and programming 3 0 0 100 CO1625 Wavelets and Multi-resolution Processing 3 0 0 100 CO1626 Speech and Audio Signal Processing. 3 0 0 100 CO1627 Network Routing Algorithms 3 0 0 100 CO1628 Simulation of Communication Systems and Networks 3 0 0 100 CO1629 Global Positioning Systems 3 0 0 100 CO1630 Communication Network Security 3 0 0 100 CO1631 Soft Computing 3 0 0 100 CO1632 Digital Communication Receivers 3 0 0 100 AN1604 Advanced Microprocessors and Microcontrollers 3 0 0 100 AN1621 Digital Image Processing 3 0 0 100 AN1628 Internetworking multimedia 3 0 0 100 AN1629 Electromagnetic Interference and Compatibility in 3 0 0 100 System Design

    AN1630 High Performance Communication Networks 3 0 0 100 AN1654 Embedded systems 3 0 0 100 DC1621 High Speed Switching Architecture 3 0 0 100 CO1645 Special Elective 3 0 0 100

     MA1616 APPLIED MATHEMATICS FOR ELECTRONICS ENGINEERS

     3 1 0 100

UNIT I 9

    REAL AND COMPLEX VARIABLES

    Convergent and divergent series. Tests for convergence. Power series; interval of convergence. McLaurin series and Taylor series. Complex power series circle of

    convergence. Euler‘s formula. Power and roots of complex numbers. Analytic functions. Contour integrals. Laurent series. Residue theorem. Method of finding residues. Evaluation of definite integrals by residue theorem. Conformal mapping and applications. Complex analysis applied to potential theory.

UNIT II 9

    PARTIAL DIFFERENTIATION AND MULTIPLE INTEGRALS.

    Power series in two variables. Total differential. Chain rule. Maximum and Minimum problems. Constraints and method of Lagrange multipliers. Change of variables. Differentiation of integrals; Leibnitz rule. Double and triple integrals. Change of order and change of variables in integrals; Jacobian. Application of multiple integrals.

UNIT III 9

    ORDINARY DIFFERENTIAL EQUATIONS.

    First order equations. Separable equations. Exact differential equations. Integrating factors. Equations of second and higher orders. Homogeneous equations with constant coefficients. Non-homogeneous equations. Series solution of differential equations. Method of Frobenius. Solution of Bessel‘s equation. Bessel functions.

UNIT IV 9

    VECTOR CALCULUS.

    Rectangular, cylindrical and spherical co-ordinate system. Unit vectors. Elemental length, area and volume. Scale factors. Representation of vectors in different co-ordinate systems. Conversion from one system to the other. Differentiation of vectors. Meaning of Line, Surface and Volume integrals. Definition of curl and divergence in terms of Line and Surface integrals. Meaning of Stokes‘ theorem and Divergence theorem. Definition of directional derivatives and gradient for level surfaces. Green‘s

    theorem in the plane. Expression for curl, divergence, gradient and the Laplacian in generalized co-ordinate system.

UNIT V 9

    PROBABILITY AND RANDOM VARIABLES.

    Data representation average, spread. Definition of probability and probability theorems. Methods of counting. Random variables, probability distributions. Binomial,

    Gaussian and Poisson distributions. Distribution of several random variables. Random 2 sampling. Estimation of parameters. Confidence intervals.Χ test. Regression analysis. Fitting of straight lines.

     L -45 T-15 Total - 60 REFERENCES:

    1. Boas,M.L. ― Mathematical Methods in Physical Sciences‖., Wiley 2002

    2. Kreyszig,E. ―Advanced Engineering Mathematics‖., Wiley 2001.

    3. Anton, H., Bivens,I., Davis,S., ―Calculus‖., Wiley 2002.

    4. Spiegel, ―Advanced Calculus‖., Schaum Series, TMH 1990.

    5. Bronson,R., ― Differential Equations‖., Schaum series, TMH, 2004

     CO1601 ADVANCED RADIATION SYSTEMS 3 0 0 100

     UNIT I 9

    CONCEPTS OF RADIATION.

Retarded vector potentials Heuristic approach and Maxwell‘s equation approach. The

    Lorentz gauge condition. Vector potential in Phasor form. Fields radiated by an alternating current element. Total power radiated and radiation resistance. Radiation from Half wave dipole from assumed current distribution. Power radiated in the farfield. Electric vector potential F for a magnetic current source M. Far zone fields due to magnetic source M.

    9 UNIT II

    ANTENNA ARRAYS.

    N element linear arrays uniform amplitude and spacing. Phased arrays. Directivity of Broadside and End fire arrays. Three dimensional characteristics. Binomial arrays and Dolph-Tchebycheff arrays. Circular array. Antenna Synthesis- Line source and discretization of continuous sources. Schelkunoff polynomial method. Fourier transform method.

UNIT III 9

    APERTURE ANTENNAS

    Magnetic current Duality. Electric and Magnetic current sheets as sources. Huyghens source. Radiation through an aperture in an absorbing screen. Fraunhoffer and Fresnel diffraction. Cornu Spiral. Complimentary screens and slot antennas. Slot and dipoles as dual antennas. Babinets principle. Fourier transform in aperture antenna theory.

UNIT IV 9

    HORN , MICROSTRIP , REFLECTOR ANTENNAS.

    E and H plane sectoral Horns. Pyramidal horns. Conical and corrugated Horns. Multimode horns. Phase center.

    Microstrip antennas feeding methods. Rectangular patch- Transmission line model.

    Parabolic Reflector antennas Prime focus and cassegrain reflectors. Equivalent focal

    length of Cassegrain antennas. Spillover and taper efficiencies. Optimum illumination.

UNIT V 9

    ANTENNA POLARIZATION.

    Simple relationship involving spherical triangles. Linear, Elliptical and circular polarization. Development of the Poincare sphere. Representation of the state of polarization in the Poincare sphere. Random polarization Stokes parameters.

     Total:45

REFERENCES

1. Balanis, C.A., ―Antenna Theory‖ Wiley,2003

    2. Jordan, E.C., ― Electromagnetic waves and Radiating systems‖. PHI 2003

    3. Krauss, J.D., ― Radio Astronomy‖ McGraw-Hill 1966, for the last unit (reprints

    available)

    4. Krauss, J.D.,, Fleisch,D.A., ―Electromagnetics‖ McGraw-Hill,1999

CO1602 MODERN DIGITAL COMMUNICATION TECHNIQUES 3 0 0 100

     UNIT I 9 POWER SPECTRUM AND COMMUNICATION OVER MEMORYLESS

    CHANNEL:

PSD of a synchronous data pulse stream; M-ary Markov source; Convolutionaly

    coded modulation; Continuous phase modulation Scalar and vector communication

    over memoryless channel Detection criteria.

    UNIT II 9 COHERENT AND NON-COHERENT COMMUNICATION:

Coherent receivers Optimum receivers in WGN IQ modulation & demodulation

    Noncoherent receivers in random phase channels; M-FSK receivers Rayleigh and

    Rician channels Partially coherent receives DPSK; M-PSK; M-DPSK,-BER

    Performance Analysis.

    UNIT III 9 BANDLIMITED CHANNELS AND DIGITAL MODULATIONS:

    Eye pattern; demodulation in the presence of ISI and AWGN; Equalization techniques IQ modulations; QPSK; QAM; QBOM; -BER Performance Analysis. Continuous

    phase modulation; CPFM; CPFSK; MSK,OFDM.

    UNIT IV 9 BLOCK CODED DIGITAL COMMUNICATION:

Architecture and performance Binary block codes; Orthogonal; Biorthogonal;

    Transorthogonal Shannon‘s channel coding theorem; Channel capacity; Matched filter;

    Concepts of Spread spectrum communication Coded BPSK and DPSK demodulators

     Linear block codes; Hammning; Golay; Cyclic; BCH ; Reed Solomon codes..

    UNIT V 9 CONVOLUTIONAL CODED DIGITAL COMMUNICATION:

    Representation of codes using Polynomial, State diagram, Tree diagram, and Trellis diagram Decoding techniques using Maximum likelihood, Viterbi algorithm,

    Sequential and Threshold methods Error probability performance for BPSK and

    Viterbi algorithm, Turbo Coding.

     Total: 45

     REFERENCES:

    1. M.K.Simon, S.M.Hinedi and W.C.Lindsey, Digital communication techniques;

    Signaling and detection, Prentice Hall India, New Delhi. 1995. 2. Simon Haykin, Digital communications, John Wiley and sons, 1998 th3. Wayne Tomasi, Advanced electronic communication systems, 4 Edition

    Pearson Education Asia, 1998 rd4. B.P.Lathi Modern digital and analog communication systems, 3 Edition,

    Oxford University press 1998.

     AN1601 ADVANCED DIGITAL SIGNAL PROCESSING 3 1 0 100

    [Review of discrete-time signals and systems- DFT and FFT, Z-Transform, Digital Filters is recommended]

UNIT I 9

    DISCRETE RANDOM SIGNAL PROCESSING

    Discrete Random Processes- Ensemble averages, stationary processes, Autocorrelation and Auto covariance matrices. Parseval's Theorem, Wiener-Khintchine Relation- Power Spectral Density-Periodogram Spectral Factorization , Filtering random processes. Low Pass Filtering of White Noise. Parameter estimation: Bias and consistency.

UNIT II 9

    SPECTRUM ESTIMATION

    Estimation of spectra from finite duration signals, Non-Parametric Methods-Correlation Method , Periodogram Estimator, Performance Analysis of Estimators -Unbiased, Consistent Estimators- Modified periodogram, Bartlett and Welch methods, Blackman Tukey method. Parametric Methods - AR, MA, ARMA model based spectral estimation. Parameter Estimation -Yule-Walker equations, solutions using Durbin‘s

    algorithm

UNIT III 9

    LINEAR ESTIMATION AND PREDICTION

    Linear prediction- Forward and backward predictions, Solutions of the Normal equations- Levinson-Durbin algorithms. Least mean squared error criterion -Wiener filter for filtering and prediction , FIR Wiener filter and Wiener IIR filters ,Discrete Kalman filter

     UNIT IV 9

    ADAPTIVE FILTERS

    FIR adaptive filters -adaptive filter based on steepest descent method-Widrow-Hoff LMS adaptive algorithm, Normalized LMS. Adaptive channel equalization-Adaptive echo cancellation-Adaptive noise cancellation- Adaptive recursive filters (IIR). RLS adaptive filters-Exponentially weighted RLS-sliding window RLS.

UNIT V 9

    MULTIRATE DIGITAL SIGNAL PROCESSING

    Mathematical description of change of sampling rate - Interpolation and Decimation , Decimation by an integer factor - Interpolation by an integer factor, Sampling rate conversion by a rational factor, Filter implementation for sampling rate conversion- direct form FIR structures, Polyphase filter structures, time-variant structures. Multistage implementation of multirate system. Application to sub band coding - Wavelet transform and filter bank implementation of wavelet expansion of signals.

     L 45 T15 Total 60

REFERENCES:

    1. Monson H.Hayes, Statistical Digital Signal Processing and Modeling, John

    Wiley and Sons, Inc.,Singapore, 2002.

    2. John G. Proakis, Dimitris G.Manolakis, Digital Signal Processing Pearson

    Education, 2002.

    3. John G. Proakis et.al.,‘Algorithms for Statistical Signal Processing‘, Pearson

    Education, 2002.

    4. Dimitris G.Manolakis et.al.,‘Statistical and adaptive signal Processing‘,

    McGraw Hill, Newyork,2000.

    5. Rafael C. Gonzalez, Richard E.Woods, ‗Digital Image Processing‘, Pearson

    Education, Inc., Second Edition, 2004.( For Wavelet Transform Topic)

Report this document

For any questions or suggestions please email
cust-service@docsford.com