Micro-doppler ambiguity resolution based on short-time compressed sensing

When using a long range radar (lrr) to track a target with micromotion,the micro-doppler embodied in the radar echoes may suffer from ambiguity problem. in this paper,we propose a novel method based on compressed sensing (cs) to solve micro-doppler ambiguity. according to the rip requirement,a sparse probing pulse train with its transmitting time random is designed. after matched filtering,the slow-time echo signals of the micromotion target can be viewed as randomly sparse sampling of doppler spectrum. select several successive pulses to form a short-time window and the cs sensing matrix can be built according to the time stamps of these pulses. then performing orthogonal matching pursuit (omp),the unambiguous micro-doppler spectrum can be obtained. the proposed algorithm is verified using the echo signals generated according to the theoretical model and the signals with micro-doppler signature produced using the commercial electromagnetic simulation software feko. © 2015 jing-bo zhuang et al.