A Novel SAR Imaging Algorithm Based on Modified Multiple Measurement Vectors Model

CHEN Yichang; ZHANG Qun; YANG Ting; LUO Ying

doi:10.11999/JEIT151391

Volume 38 Issue 10

Oct. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(10): 2423-2429

CHEN Yichang, ZHANG Qun, YANG Ting, LUO Ying. A Novel SAR Imaging Algorithm Based on Modified Multiple Measurement Vectors Model[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2423-2429. doi: 10.11999/JEIT151391

Citation:

CHEN Yichang, ZHANG Qun, YANG Ting, LUO Ying. A Novel SAR Imaging Algorithm Based on Modified Multiple Measurement Vectors Model[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2423-2429. doi: 10.11999/JEIT151391

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A Novel SAR Imaging Algorithm Based on Modified Multiple Measurement Vectors Model

doi: 10.11999/JEIT151391 cstr: 32379.14.JEIT151391

1.
(Institute of Information and Navigation, Air Force Engineering University, Xi&rsquo
2.

Funds:

The National Natural Science Foundation of China (61471386), The Postdoctoral Science Foundation of China (2015M570815), The Overall Innovation and Characteristic Industry Innovation Chain Project of Shaanxi Province (2015KTTSGY04-06)

Received Date: 2015-12-09
Rev Recd Date: 2016-05-03
Publish Date: 2016-10-19

Abstract

Abstract

Recently, the Compressed Sensing (CS) theory becomes the researching hot point in SAR imaging. The Multiple Measurement Vectors (MMV) model of CS theory can be used to effectively represent the jointly sparse signals, and it can obtain better performance than Single Measurement Vector (SMV) model. Because the SAR range profiles at different pulses have different sparse structures, which result in the MMV model can not be directly used in the scenario of synthetic aperture radar imaging. In this paper, a modified MMV model is proposed for SAR imaging, and the Range Migration (RM) effect is embedded into the proposed model. Correspondingly, a modified Orthogonal Matching Pursuit (OMP) algorithm is developed to obtain the high-resolution range profile. Experiments based on simulated and measured data demonstrate the validity of the proposed model and the algorithm.
- Synthetic Aperture Radar (SAR),
- Sparse reconstruction,
- Multiple Measurement Vectors (MMV) model,
- Range Migration (RM)

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References(20)

References

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