Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing. (17th August 2015)

• Record Type: Journal Article
• Authors: Zhuang, Jing-bo; Deng, Zhen-miao; Ye, Yi-shan; Zhang, Yi-xiong; Chen, Yan-yong
• Other Names: Djurović Igor Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2015(2015)
• Publication Date: 2015-08-17
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2015/864508
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : 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.