Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing
Joint Authors
Zhang, Yixiong
Deng, Zhenmiao
Zhuang, Jing-bo
Ye, Yi-shan
Chen, Yan-yong
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhuang, Jing-bo& Deng, Zhenmiao& Ye, Yi-shan& Zhang, Yixiong& Chen, Yan-yong. 2015. Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing. Journal of Electrical and Computer Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1068155
Modern Language Association (MLA)
Zhuang, Jing-bo…[et al.]. Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing. Journal of Electrical and Computer Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1068155
American Medical Association (AMA)
Zhuang, Jing-bo& Deng, Zhenmiao& Ye, Yi-shan& Zhang, Yixiong& Chen, Yan-yong. Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing. Journal of Electrical and Computer Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1068155
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068155