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This paper deals with the detection problem of small and slowly-moving targets in the context of highly ambiguous pulse Doppler radar using a medium Pulse Repetition Frequency (PRF). A solution for exploiting multiple-burst signals of these radars is proposed. It combines a fast iterative Maximum Likelihood (ML) estimator for target parameter estimation and ambiguities solving and an adaptive detector...
The goal of radar processing chain is to extract a few target echoes from their noisy sum made of thousands of complex numbers. Current radar chains are composed of matched filters (Pulse Compression, Doppler filters, Digital Beam Forming), noise/clutter estimation and thresholding, then extraction (hits clustering, location estimation). In this paper, extraction function is performed thanks to a...
In this paper, we address the problem of detecting and localizing closely spaced moving targets using a compressed sensing approach. In a previous work, we demonstrated the interest of a compressed sensing approach for overcoming Doppler ambiguities and proposed the N-signal Adaptive Grid Orthogonal Matching Pursuit (N-signal-AGOMP) [1] for the detection and estimation of moving targets in a continuous...
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