Group-sparse Complex Approximate Message Passing Algorithm for Wide Angle Synthetic Aperture Radar Imaging

Jiang Cheng-long; Zhang Bing-chen; Wang Zheng-dao; Hong Wen

doi:10.11999/JEIT141300

Volume 37 Issue 8

Aug. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(8): 1793-1800

Jiang Cheng-long, Zhang Bing-chen, Wang Zheng-dao, Hong Wen. Group-sparse Complex Approximate Message Passing Algorithm for Wide Angle Synthetic Aperture Radar Imaging[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1793-1800. doi: 10.11999/JEIT141300

Citation:

Jiang Cheng-long, Zhang Bing-chen, Wang Zheng-dao, Hong Wen. Group-sparse Complex Approximate Message Passing Algorithm for Wide Angle Synthetic Aperture Radar Imaging[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1793-1800. doi: 10.11999/JEIT141300

Citation:

Jiang Cheng-long, Zhang Bing-chen, Wang Zheng-dao, Hong Wen. Group-sparse Complex Approximate Message Passing Algorithm for Wide Angle Synthetic Aperture Radar Imaging[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1793-1800. doi: 10.11999/JEIT141300

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Group-sparse Complex Approximate Message Passing Algorithm for Wide Angle Synthetic Aperture Radar Imaging

doi: 10.11999/JEIT141300

Received Date: 2014-10-11
Rev Recd Date: 2015-05-11
Publish Date: 2015-08-19

Abstract

Abstract

Conventional matched filtering based algorithms are not sufficiently good at dealing with the anisotropic backscattering behavior of targets in Wide Angle SAR (WASAR) imaging. Sparse signal processing provides a new idea for this problem, the anisotropic problem is modeled as a group of under-determined linear equations. However, the scale of unknowns in the under-determined equations is in linear order of the number of the observation angle. As the observation angle increases, the anisotropic problem becomes more and more difficult to be solved, even failed for conventional sparse signal processing algorithms. This paper presents a Group- sparse Complex Approximated Message Passing (GCAMP) algorithm for WASAR imaging. Firstly, a group sparse based WASAR imaging model is provided according to the structured property of backscattering coefficients across different observation angles. Secondly, the GCAMP algorithm is derived from the imaging model using message passing theory. Results of simulation demonstrate the effectiveness of the proposed algorithm.
- SAR,
- Wide Angle SAR (WASAR) imaging,
- Anisotropic backscattering,
- Group sparse,
- Message passing

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References(18)

References

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