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A robust, fast-converging, reduced-rank adaptive processor called the loaded reiterative median cascaded canceller (LRMCC) is introduced. The LRMCC exhibits the highly desirable combination of 1) convergence-robustness to outliers/targets/nonstationary data in adaptive weight training data, and 2) fast convergence at a rate commensurate with reduced-rank algorithms. Simulated jamming data as well...
This paper presents a comparative study of space-time adaptive processing (STAP) methods, adapted to noise-like signals in general and digital video broadcasting-terrestrial (DVB-T) in particular. The advantages and disadvantages of each method are highlighted through the possibility of a multi-target detection among the various kinds of interferences, either homogeneous or not. This study emphasizes...
The eigencanceler (EC) is a subspace detector that has been suggested in the last years as a robust and fast-converging alternative to GLRT-related methods for space-time adaptive radars. In this paper we consider the EC from an original invariance-based point of view for the problem of spatial anti jamming, where interference is not required to be normally distributed. We compare the performances...
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