一种快速的基于压缩感知的多普勒高分辨方法

doi:10.3969/j.issn.1001-2400.2011.02.015

Abstract

Abstract:

Exploiting the sparsity of radar targets in the Doppler frequency domain, compressed sensing based Doppler estimation methods can lead to high resolution estimates of targets' Doppler frequencies in the very limited coherent integration time. However, this involves a large amount of computation even via an efficient algorithm—Orthogonal Matching Pursuit (OMP). For further reduction of computational complexity, the 1D Doppler estimation is translated into a 2D sparse signal recovery problem through a pulse grouping method. Then a low complexity OMP algorithm optimized for 2D sparse signals is utilized. Simulation results indicate that high resolution Doppler estimates approximating those of the OMP can be obtained with an improved efficiency.

Key words: Doppler radar, high resolution methods, low complexity, compressed sensing, sparse representation, orthogonal matching pursuit

LIU Yin;WU Shunjun;ZHANG Huaigen;WU Mingyu;LI Chunmao. Low complexity compressed sensing based Doppler high resolution algorithm[J].J4, 2011, 38(2): 82-87.

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Low complexity compressed sensing based Doppler high resolution algorithm

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