We have addressed the derivation and the analysis of an adaptive decision scheme to detect possible extended targets modeled as Gaussian vectors known to belong to a given subspace; noise returns from the cells under test are modeled as independent and identically-distributed Gaussian vectors with one and the same covariance matrix; a set of secondary data, free of signal components is also ava...

The focus of this paper is to investigate the application of wideband adaptive array processing techniques to the problem of radar imaging. In particular we are interested in joint range-angle estimation with angular resolution improvement for small, relative to A , antennas. The simulations and experimental results indicate that this approach is viable in a practical sense, and yields signific...

A sequential decision process in which an adaptive radar system repeatedly interacts with a finite-state target channel is studied. The capable of passively sensing the spectrum at regular intervals, provides side information for waveform selection process. transmitter uses sequence observations as well feedback from collocated receiver to select waveforms accurately estimate parameters. It sho...

In this study, the effects of non-sidelooking airborne radar clutter dispersion on space-time adaptive processing (STAP) is considered, and an efficient adaptive angle-Doppler compensation (EAADC) approach is proposed to improve the clutter suppression performance. In order to reduce the computational complexity, the reduced-dimension sparse reconstruction (RDSR) technique is introduced into th...

A reduced-rank framework with set-membership filtering (SMF) techniques is presented for adaptive beamforming problems encountered in radar systems. We develop and analyze stochastic gradient (SG) and recursive least squares (RLS)-type adaptive algorithms, which achieve an enhanced convergence and tracking performance with low computational cost as compared to existing techniques. Simulations s...