M.Tech II Year I Semester (R19)
Introduction to Smart Antennas: Need for Smart Antennas, Smart Antenna Configurations, Architecture of a Smart Antenna System, Benefits and Drawbacks, Space division multiple access (SDMA).
Beamforming Methods: Classical beamformer- signal model, Conventional beamformer, null steering, optimization using reference signal, Direct matrix inversion, maximum SNR beamformer, Tapped delay line structure, digital beam forming, frequency domain processing.
Adaptive Processing: Least Mean Squares Algorithm, Structured Gradient Algorithm, Recursive Least Mean Squares Algorithm, Improved Least Mean Squares Algorithm, Recursive Least Squares Algorithm, Constant Modulus Algorithm, Conjugate Gradient Method, Adaptive Beam Space Processing, Signal Sensitivity of Constrained Least Mean Squares Algorithm.
DOA estimation methods: The array response vector, received signal model, signal autocovariance matrices, conventional DOA estimation methods, conventional beamforming method, spectral estimation methods, minimum variance distortion less response estimator, Capon’s minimum variance method, subspace approach to DOA estimation, the MUSIC algorithm, the ESPRIT algorithm.
Diversity Combining: Selection combiner, Switched diversity combiner, Equal gain combiner, Maximum ratio combiner, RAKE receiver, Mobile station’s Smart Antennas.
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