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 sp...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/864508 |
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| author | Jing-bo Zhuang Zhen-miao Deng Yi-shan Ye Yi-xiong Zhang Yan-yong Chen |
| author_facet | Jing-bo Zhuang Zhen-miao Deng Yi-shan Ye Yi-xiong Zhang Yan-yong Chen |
| author_sort | Jing-bo Zhuang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-412cfe911fa149d08aac9af6cc7ecc21 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-412cfe911fa149d08aac9af6cc7ecc212025-02-03T01:00:34ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/864508864508Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed SensingJing-bo Zhuang0Zhen-miao Deng1Yi-shan Ye2Yi-xiong Zhang3Yan-yong Chen4School of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaWhen 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.http://dx.doi.org/10.1155/2015/864508 |
| spellingShingle | Jing-bo Zhuang Zhen-miao Deng Yi-shan Ye Yi-xiong Zhang Yan-yong Chen Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing Journal of Electrical and Computer Engineering |
| title | Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing |
| title_full | Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing |
| title_fullStr | Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing |
| title_full_unstemmed | Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing |
| title_short | Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing |
| title_sort | micro doppler ambiguity resolution based on short time compressed sensing |
| url | http://dx.doi.org/10.1155/2015/864508 |
| work_keys_str_mv | AT jingbozhuang microdopplerambiguityresolutionbasedonshorttimecompressedsensing AT zhenmiaodeng microdopplerambiguityresolutionbasedonshorttimecompressedsensing AT yishanye microdopplerambiguityresolutionbasedonshorttimecompressedsensing AT yixiongzhang microdopplerambiguityresolutionbasedonshorttimecompressedsensing AT yanyongchen microdopplerambiguityresolutionbasedonshorttimecompressedsensing |