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This paper is focused on the problem of the detection of multiple scatterers in synthetic aperture radar (SAR) tomography. The method presented exploits the a priori information that at most $K_{{\rm{max}}}$ different scatterers are present in the same range-azimuth resolution cell. In particular, a simplified version of a generalized-likelihood ratio test (GLRT) detector, based on support estimation...
Detection cof multiple scatterers for localizing the targets is one of the key issues in SAR tomography. Recently, a Generalized Likelihood Ratio Test based on support estimation (Sup-GLRT) [10] has been presented. This test exhibits a high computational complexity. In this paper a modified approach for reducing computational complexity (Fast-Sup-GLRT) is proposed. The prime objective is to analyze...
In this paper, compressive sampling (CS) based energy detectors are developed for sparse communication signals, namely, pulse-position modulation (PPM) and frequency shift-keying (FSK) signals so as to reduce the complexity and sampling rate at the receiver. We focus on noncoherent detection, thereby avoiding the channel estimation step. Exact bit error probability (BEP) expressions for receivers...
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