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基于定標(biāo)器相位梯度提取的圓跡SAR軌跡重建方法

郭振宇,  林赟,  洪文,  譚維賢,  王彥平

郭振宇, 林赟, 洪文, 譚維賢, 王彥平. 基于定標(biāo)器相位梯度提取的圓跡SAR軌跡重建方法[J]. 電子與信息學(xué)報(bào), 2015, 37(8): 1836-1842. doi: 10.11999/JEIT140950
引用本文: 郭振宇, 林赟, 洪文, 譚維賢, 王彥平. 基于定標(biāo)器相位梯度提取的圓跡SAR軌跡重建方法[J]. 電子與信息學(xué)報(bào), 2015, 37(8): 1836-1842. doi: 10.11999/JEIT140950
Guo Zhen-yu, Lin Yun, Hong Wen, Tan Wei-xian, Wang Yan-ping. Circular SAR Trajectory Reconstruction Based on Phase Gradient of Calibrators[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1836-1842. doi: 10.11999/JEIT140950
Citation: Guo Zhen-yu, Lin Yun, Hong Wen, Tan Wei-xian, Wang Yan-ping. Circular SAR Trajectory Reconstruction Based on Phase Gradient of Calibrators[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1836-1842. doi: 10.11999/JEIT140950

基于定標(biāo)器相位梯度提取的圓跡SAR軌跡重建方法

doi: 10.11999/JEIT140950

Circular SAR Trajectory Reconstruction Based on Phase Gradient of Calibrators

  • 摘要: 圓跡合成孔徑雷達(dá)(CSAR)高分辨率成像，對(duì)慣導(dǎo)系統(tǒng)的精度和穩(wěn)定性提出了更高的要求，運(yùn)動(dòng)補(bǔ)償技術(shù)是關(guān)鍵技術(shù)之一。該文首先分析了軌跡測(cè)量誤差引起的相位誤差，然后針對(duì)相位誤差的空變性給出一種基于定標(biāo)器相位梯度提取的圓跡SAR軌跡重建方法。該方法從SAR回波數(shù)據(jù)中提取定標(biāo)器沿方位向的相位梯度，結(jié)合多個(gè)定標(biāo)器的相位梯度，利用三邊測(cè)量法重建高精度圓跡SAR軌跡，用于獲取高質(zhì)量的CSAR圖像。該方法解決了軌跡測(cè)量誤差引起的圖像散焦問(wèn)題，可實(shí)現(xiàn)整個(gè)場(chǎng)景的有效聚焦。仿真結(jié)果驗(yàn)證了該方法的正確性和有效性。
    Abstract: Circular SAR (CSAR) high resolution imaging requires a more accurate and stable Inertial Navigation System (INS), therefore motion compensation is one of the key technologies. In this paper, the phase error caused by trajectory measurement error is firstly analyzed. Then, the CSAR trajectory reconstruction algorithm based on the extraction of calibrators phase gradient is proposed. This algorithm is aiming at the spatial variant property of phase errors. The azimuth differential phase of each calibrator is extracted from SAR echo data. The high precision CSAR trajectory is reconstructed via trilateration in combination with multiple calibrators phase gradient. The high quality CSAR image is formed with this trajectory. The proposed algorithm solves the problem of image defocusing by trajectory measurement error, meanwhile the entire scene gets focused efficiently. The simulation results verify the correctness and effectiveness of the proposed algorithm.
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出版歷程
  • 收稿日期:  2014-07-17
  • 修回日期:  2015-05-07
  • 刊出日期:  2015-08-19

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