A polarimetric adaptive matched filter
Signal Processing
Adaptive polarimetry design for a target in compound-Gaussian clutter
Signal Processing
Joint transmitter and receiver polarization optimization for scattering estimation in clutter
IEEE Transactions on Signal Processing
Polarimetric MIMO radar with distributed antennas for target detection
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference
IEEE Transactions on Signal Processing
Polarimetric Detection of Targets in Heavy Inhomogeneous Clutter
IEEE Transactions on Signal Processing
Acoustic vector-sensor array processing
IEEE Transactions on Signal Processing
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In this paper, we address the performance optimization of adaptive detectors in Gaussian noise with unknown covariance matrix, based on a diversely polarized antenna (DPA). First, a general signal model is presented, where the system response is related to the characteristics of its transmitted pulses. Two adaptive detectors, i.e., generalized likelihood ratio and adaptive matched filter, are then adopted, and their expressions for the probabilities of false alarm and detection are provided. In particular, a waveform design algorithm to enhance the detection performance of both the detectors is proposed. Finally, simulation results illustrate the performance gain obtained with the proposed waveform design algorithm, i.e., by optimally selecting the polarization of the transmitted pulses of the DPA.