Radar array processing
Radar Array Processing presents modern techniques and methods for processingradar signals received by an array of antenna elements. With the recent rapid growth of the technology of hardware for digital signal processing, itis now possible to apply this to radar signals and thus to enlist the full power of sophisticated computational algorithms. Topics covered in detail here include: super-resolution methods of array signal processing as applied to radar, adaptive beam forming for radar, and radar imaging. This book will be of interest to researchers and studentsin the radar community and also in related fields such as sonar, seismology, acoustics and radio astronomy.
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Overview By S Haykin J Litva and T J Shepherd
Radar Target Parameter Estimation with Array Antennas
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2D adaptive beamforming 2D array adapted pattern adaptive antenna adaptive array adaptive beamforming algorithm amplitude angle antenna array aperture applications array processing asymptotic beam boundary cell channel clock coherent column complex computed Conf constraint correlated covariance matrix data matrix data vectors defined denotes derived described in Sect detection deterministic direction eigenvectors emitter equation error filter Gaussian Givens rotation IEEE IEEE Trans implemented input data Kalman filter least-squares least-squares problem likelihood function likelihood ratio test linear LMS algorithm matrix X(n maximum likelihood estimate minimization ML estimate multiple noise nulling number of targets obtained orthogonal output parameter estimation performance phased array pre-processor Proc processor pseudo maximum likelihood PTMF QR decomposition radar recursive residual resolution samples sensor array sidelobe signal parameters Signal Processing signal subspace snapshot spatial spectral spectrum stochastic subarrays superresolution methods systolic array techniques test statistic transformation triangular matrix update waveforms