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Journal of Electrical and Computer Engineering
Volume 2015 (2015), Article ID 864508, 7 pages
Research Article

Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

School of Information Science and Engineering, Xiamen University, Xiamen 361005, China

Received 4 May 2015; Revised 5 August 2015; Accepted 5 August 2015

Academic Editor: Igor Djurović

Copyright © 2015 Jing-bo Zhuang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.