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.
Prerequisites: None
Text Books:
- Harry L. Van Trees, Optimum Array Processing (Part IV of Detection, Estimation, and Modulation Theory), Wiley-Interscience, 2002.
Reference Books:
- Dan E. Dugeon and Don H. Johnson. (1993). Array Signal Processing: Concepts and
Techniques. Prentice Hall.
- Petre Stoica and Randolph L. Moses. (2005, 1997) Spectral Analysis of Signals. Prentice Hall.
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