Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode
The azimuth multichannel synthetic aperture radar (SAR) technology is capable of overcoming the minimum antenna area constraint and achieving high-resolution and wideswath (HRWS) imaging. Generally speaking, the pulse repetition frequency (PRF) of the spaceborne multichannel SAR systems should satis...
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2021
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oai:doaj.org-article:a6ee350e09f742978c1e7726d72853382021-11-11T00:00:09ZAmbiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode2151-153510.1109/JSTARS.2020.3046366https://doaj.org/article/a6ee350e09f742978c1e7726d72853382021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9301429/https://doaj.org/toc/2151-1535The azimuth multichannel synthetic aperture radar (SAR) technology is capable of overcoming the minimum antenna area constraint and achieving high-resolution and wideswath (HRWS) imaging. Generally speaking, the pulse repetition frequency (PRF) of the spaceborne multichannel SAR systems should satisfy the azimuthal uniform sampling condition, but it is sometimes impossible due to the limitation of radar system timing conditions, which is often referred as “coverage diagram.” For the Gaofen-3 system, the PRF of each channel at some beam positions is slightly less than that of uniform sampling in the dual-channel mode, leading to the nonuniform undersampling, hence, resulting the azimuth ambiguities in the recovered images. Although the ambiguous energy in Gaofen-3 images is not high in general, it is still noticeable amid surrounding weak clutters of strong targets. In this article, a novel multichannel SAR imaging method for nonuniform undersampling based on L<sub>2,q</sub> regularization (0 <; q ≤ 1) is proposed. By analyzing the reasons of azimuth ambiguities in the multichannel SAR system, the imaging model is established with emphasizing the difference from conventional single-channel SAR. Then, we combine the multichannel SAR data processing operators with the group sparsity property to construct the novel imaging method. The group sparsity property is modeled by the 2, q-norm, and the L<sub>2,q</sub> regularization problem can be solved via sparse group thresholding function. It is shown that the proposed method can efficiently suppress the azimuth ambiguities caused by nonuniform undersampling. Simulations and Gaofen-3 real data experiments are exploited to verify the effectiveness of the proposed method.Mingqian LiuBingchen ZhangZhongqiu XuYan ZhangLihua ZhongYirong WuIEEEarticleAzimuth ambiguitycompressive sensing (CS)Gaofen-3<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX">${{\boldsymbol{L}}_{2,{\boldsymbol{q}}}}$</tex-math> </inline-formula> regularizationmultichannel synthetic aperture radar (SAR)Ocean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1532-1544 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Azimuth ambiguity compressive sensing (CS) Gaofen-3 <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX">${{\boldsymbol{L}}_{2,{\boldsymbol{q}}}}$</tex-math> </inline-formula> regularization multichannel synthetic aperture radar (SAR) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
| spellingShingle |
Azimuth ambiguity compressive sensing (CS) Gaofen-3 <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX">${{\boldsymbol{L}}_{2,{\boldsymbol{q}}}}$</tex-math> </inline-formula> regularization multichannel synthetic aperture radar (SAR) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Mingqian Liu Bingchen Zhang Zhongqiu Xu Yan Zhang Lihua Zhong Yirong Wu Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode |
| description |
The azimuth multichannel synthetic aperture radar (SAR) technology is capable of overcoming the minimum antenna area constraint and achieving high-resolution and wideswath (HRWS) imaging. Generally speaking, the pulse repetition frequency (PRF) of the spaceborne multichannel SAR systems should satisfy the azimuthal uniform sampling condition, but it is sometimes impossible due to the limitation of radar system timing conditions, which is often referred as “coverage diagram.” For the Gaofen-3 system, the PRF of each channel at some beam positions is slightly less than that of uniform sampling in the dual-channel mode, leading to the nonuniform undersampling, hence, resulting the azimuth ambiguities in the recovered images. Although the ambiguous energy in Gaofen-3 images is not high in general, it is still noticeable amid surrounding weak clutters of strong targets. In this article, a novel multichannel SAR imaging method for nonuniform undersampling based on L<sub>2,q</sub> regularization (0 <; q ≤ 1) is proposed. By analyzing the reasons of azimuth ambiguities in the multichannel SAR system, the imaging model is established with emphasizing the difference from conventional single-channel SAR. Then, we combine the multichannel SAR data processing operators with the group sparsity property to construct the novel imaging method. The group sparsity property is modeled by the 2, q-norm, and the L<sub>2,q</sub> regularization problem can be solved via sparse group thresholding function. It is shown that the proposed method can efficiently suppress the azimuth ambiguities caused by nonuniform undersampling. Simulations and Gaofen-3 real data experiments are exploited to verify the effectiveness of the proposed method. |
| format |
article |
| author |
Mingqian Liu Bingchen Zhang Zhongqiu Xu Yan Zhang Lihua Zhong Yirong Wu |
| author_facet |
Mingqian Liu Bingchen Zhang Zhongqiu Xu Yan Zhang Lihua Zhong Yirong Wu |
| author_sort |
Mingqian Liu |
| title |
Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode |
| title_short |
Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode |
| title_full |
Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode |
| title_fullStr |
Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode |
| title_full_unstemmed |
Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode |
| title_sort |
ambiguities suppression for azimuth multichannel sar based on <inline-formula><tex-math notation="latex">${l_{2,q}}$</tex-math></inline-formula> regularization with application to gaofen-3 ultra-fine stripmap mode |
| publisher |
IEEE |
| publishDate |
2021 |
| url |
https://doaj.org/article/a6ee350e09f742978c1e7726d7285338 |
| work_keys_str_mv |
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| _version_ |
1718439705860636672 |