Subject Code: EC6L024 Subject Name: Array Signal Processing L-T-P: 3-0-0 Credits: 3
Pre-requisite(s): Digital Signal Processing, Probability and Statistics
Introduction: Array Processing and Applications, Arrays and Spatial Filters: Uniform Linear Array, Array Steering, Array Performance, Linear Aperture, Synthesis of Linear Arrays and Apertures: Spectral Weighting, Array Polynomials, Minimum Beamwidth, Null Steering, Spatially Non-uniform Linear Arrays, Broadband Arrays, Planar Arrays and Apertures: Rectangular Arrays, Circular Arrays, Circular Apertures, Non-planar Arrays, Characterization of Space-time Processes: Snapshot Models, Space-time Random Process, Optimum Waveform Estimation: Optimum Beamformers, MVDR and MPDR Beamformers, LCMV and LCMP Beamformers, Eigenspace Beamformer, Beamspace Beamformer, Broadband Beamformer, Adaptive Beamformers: Parametric Estimation, RLS, LMS, Gradient Algorithms, Parameter Estimation and Direction of Arrival Estimation: Cramer-Rao Bounds, Maximum Likelihood Estimation, Capon methods, Subspace methods - MUSIC, Minimum-Norm and ESPRIT techniques.

Text Books:
  1. Harry L. Van Trees, Optimum Array Processing (Part IV of Detection, Estimation, and Modulation Theory), Wiley-Interscience, 2002.
Reference Books:
  1. D. E. Dugeon and D. H. Johnson, “Array Signal Processing: Concepts and Techniques,”  Prentice Hall, 1993.
  2. P. Stoica and R. L. Moses, “Spectral Analysis of Signals,” Prentice Hall, 2005.