Title :
Time-varying inverse filtering of range-compressed radar signals
Author :
Moll, Jochen ; Krozer, Viktor
Author_Institution :
Dept. of Phys., Goethe Univ. of Frankfurt, Frankfurt am Main, Germany
Abstract :
This document presents a novel deconvolution approach that is applied to range-compressed radar signals to enhance the range resolution of the backprojection images beyond the resolution limit given by the point-spread-function. Hence, this signal processing technique has certain super-resolution capabilities. The time-varying deconvolution scheme is based on a combination of the matching pursuit decomposition (MP-) algorithm and the inverse filter. In each iteration of the MP-algorithm the signal portion with the highest local signal energy is firstly reconstructed and then deconvolved by the inverse filter.
Keywords :
deconvolution; iterative methods; radar imaging; time-frequency analysis; time-varying filters; MP-algorithm; Rayleigh resolution; backprojection images; deconvolution approach; iteration; local signal energy; matching pursuit decomposition algorithm; point-spread-function; radar image; range-compressed radar signals; signal portion algorithm; signal processing technique; super-resolution capabilities; time-varying deconvolution scheme; time-varying inverse filtering; Deconvolution; Image reconstruction; Image resolution; Matching pursuit algorithms; Radar imaging; Signal resolution; Deconvolution; Filtering algorithms; Millimeter wave radar; Radar imaging; Signal processing algorithms;
Conference_Titel :
Microwave Conference (GeMiC), 2012 The 7th German
Conference_Location :
Ilmenau
Print_ISBN :
978-1-4577-2096-3
Electronic_ISBN :
978-3-9812668-4-9
