Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing
The multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently. However, this not only neglects the complementary information between signals of each cha...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-02-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/17/2/295 |
| _version_ | 1798041889066188800 |
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| author | Chao Sun Baoping Wang Yang Fang Zuxun Song Shuzhen Wang |
| author_facet | Chao Sun Baoping Wang Yang Fang Zuxun Song Shuzhen Wang |
| author_sort | Chao Sun |
| collection | DOAJ |
| description | The multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently. However, this not only neglects the complementary information between signals of each channel or sub-aperture, but also may lead to failure in guaranteeing the consistency of the position of a scatterer in different channel or sub-aperture images which will make the extraction of some scattering information become difficult. By exploiting the joint sparsity of the signal ensemble, this paper proposes a novel CS-based method for joint sparse recovery of all channel or sub-aperture images. Solving the joint sparse recovery problem with a modified orthogonal matching pursuit algorithm, the recovery precision of scatterers is effectively improved and the scattering information is also preserved during the image formation process. Finally, the simulation and real data is used for verifying the effectiveness of the proposed method. Compared with single channel or sub-aperture independent CS processing, the proposed method can not only obtain better imaging performance with fewer measurements, but also preserve more valuable scattering information for target recognition. |
| first_indexed | 2024-04-11T22:27:51Z |
| format | Article |
| id | doaj.art-c14c8039f8c14c058cd52d8ee440d135 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:27:51Z |
| publishDate | 2017-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c14c8039f8c14c058cd52d8ee440d1352022-12-22T03:59:36ZengMDPI AGSensors1424-82202017-02-0117229510.3390/s17020295s17020295Multichannel and Wide-Angle SAR Imaging Based on Compressed SensingChao Sun0Baoping Wang1Yang Fang2Zuxun Song3Shuzhen Wang4School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, ChinaScience and Technology on UAV Laboratory, Northwestern Polytechnical University, Xi’an 710065, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, ChinaSchool of Computer Science and Technology, Xidian University, Xi’an 710071, ChinaThe multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently. However, this not only neglects the complementary information between signals of each channel or sub-aperture, but also may lead to failure in guaranteeing the consistency of the position of a scatterer in different channel or sub-aperture images which will make the extraction of some scattering information become difficult. By exploiting the joint sparsity of the signal ensemble, this paper proposes a novel CS-based method for joint sparse recovery of all channel or sub-aperture images. Solving the joint sparse recovery problem with a modified orthogonal matching pursuit algorithm, the recovery precision of scatterers is effectively improved and the scattering information is also preserved during the image formation process. Finally, the simulation and real data is used for verifying the effectiveness of the proposed method. Compared with single channel or sub-aperture independent CS processing, the proposed method can not only obtain better imaging performance with fewer measurements, but also preserve more valuable scattering information for target recognition.http://www.mdpi.com/1424-8220/17/2/295synthetic aperture radarmultichannelwide-anglecompressed sensingjoint sparse recovery |
| spellingShingle | Chao Sun Baoping Wang Yang Fang Zuxun Song Shuzhen Wang Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing Sensors synthetic aperture radar multichannel wide-angle compressed sensing joint sparse recovery |
| title | Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing |
| title_full | Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing |
| title_fullStr | Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing |
| title_full_unstemmed | Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing |
| title_short | Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing |
| title_sort | multichannel and wide angle sar imaging based on compressed sensing |
| topic | synthetic aperture radar multichannel wide-angle compressed sensing joint sparse recovery |
| url | http://www.mdpi.com/1424-8220/17/2/295 |
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