Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Maximum Likelihood Estimation of Compound-Gaussian Clutter and Target Parameters
IEEE Transactions on Signal Processing
Vector-sensor array processing for electromagnetic sourcelocalization
IEEE Transactions on Signal Processing
Non-Gaussian clutter modeling with generalized sphericallyinvariant random vectors
IEEE Transactions on Signal Processing
Attributed scattering centers for SAR ATR
IEEE Transactions on Image Processing
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We develop optimal adaptive design of radar waveform polarizations for a target in compound-Gaussian clutter. We present maximum likelihood estimates of the target's scattering matrix and clutter parameters using a parameter-expanded expectation-maximization (PX-EM) algorithm. We compute the Cramer-Rao bound (CRB) on the target's scattering matrix. To design the polarization, we propose an algorithm that minimizes a CRB function. We propose also suboptimal versions of this algorithm and illustrate the performance as well as compare our algorithm with numerical examples.