Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar
Low SNR condition has been a big challenge in the face of distributed compressive sensing MIMO radar (DCS-MIMO radar) and noise in measurements would decrease performance of radar system. In this paper, we first devise the scheme of DCS-MIMO radar including the joint sparse basis and the joint measu...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/421740 |
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| author | Yu Tao Gong Zhang Jindong Zhang |
| author_facet | Yu Tao Gong Zhang Jindong Zhang |
| author_sort | Yu Tao |
| collection | DOAJ |
| description | Low SNR condition has been a big challenge in the face of distributed compressive sensing MIMO radar (DCS-MIMO radar) and noise in measurements would decrease performance of radar system. In this paper, we first devise the scheme of DCS-MIMO radar including the joint sparse basis and the joint measurement matrix. Joint orthogonal matching pursuit (JOMP) algorithm is proposed to recover sparse targets scene. We then derive a recovery stability guarantee by employing the average coherence of the sensing matrix, further reducing the least amount of measurements which are necessary for stable recovery of the sparse scene in the presence of noise. Numerical results show that this scheme of DCS-MIMO radar could estimate targets’ parameters accurately and demonstrate that the proposed stability guarantee could further reduce the amount of data to be transferred and processed. We also show the phase transitions diagram of the DCS-MIMO radar system in simulations, pointing out the problem to be further solved in our future work. |
| format | Article |
| id | doaj-art-82a7704d32c44a729630f8c8016fcf40 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-82a7704d32c44a729630f8c8016fcf402025-02-03T01:11:24ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/421740421740Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO RadarYu Tao0Gong Zhang1Jindong Zhang2Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaLow SNR condition has been a big challenge in the face of distributed compressive sensing MIMO radar (DCS-MIMO radar) and noise in measurements would decrease performance of radar system. In this paper, we first devise the scheme of DCS-MIMO radar including the joint sparse basis and the joint measurement matrix. Joint orthogonal matching pursuit (JOMP) algorithm is proposed to recover sparse targets scene. We then derive a recovery stability guarantee by employing the average coherence of the sensing matrix, further reducing the least amount of measurements which are necessary for stable recovery of the sparse scene in the presence of noise. Numerical results show that this scheme of DCS-MIMO radar could estimate targets’ parameters accurately and demonstrate that the proposed stability guarantee could further reduce the amount of data to be transferred and processed. We also show the phase transitions diagram of the DCS-MIMO radar system in simulations, pointing out the problem to be further solved in our future work.http://dx.doi.org/10.1155/2015/421740 |
| spellingShingle | Yu Tao Gong Zhang Jindong Zhang Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar International Journal of Antennas and Propagation |
| title | Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar |
| title_full | Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar |
| title_fullStr | Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar |
| title_full_unstemmed | Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar |
| title_short | Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar |
| title_sort | guaranteed stability of sparse recovery in distributed compressive sensing mimo radar |
| url | http://dx.doi.org/10.1155/2015/421740 |
| work_keys_str_mv | AT yutao guaranteedstabilityofsparserecoveryindistributedcompressivesensingmimoradar AT gongzhang guaranteedstabilityofsparserecoveryindistributedcompressivesensingmimoradar AT jindongzhang guaranteedstabilityofsparserecoveryindistributedcompressivesensingmimoradar |