电子电气工程与控制

基于距离子带的机载SAR高精度多级空变运动补偿

  • 杨鸣冬 ,
  • 俞翔 ,
  • 朱岱寅
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  • 1. 南京航空航天大学 电子信息工程学院 雷达成像与微波光子技术教育部重点实验室, 南京 211106;
    2. 南京工程学院 计算机工程学院, 南京 211167

收稿日期: 2017-06-28

  修回日期: 2017-10-22

  网络出版日期: 2017-10-21

基金资助

国家自然科学基金(61671240);航空科学基金(20162052019);中央高校基本科研业务费专项资金(NZ2016105);江苏省优秀青年基金(BK20170091);江苏省自然科学基金青年基金(BK20150730)

High-precision space-variant motion compensation with multi-level processing for airborne SAR based on subswath

  • YANG Mingdong ,
  • YU Xiang ,
  • ZHU Daiyin
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  • 1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. Department of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China

Received date: 2017-06-28

  Revised date: 2017-10-22

  Online published: 2017-10-21

Supported by

National Natural Science Foundation of China (61671240); Aeronautical Science Foundation of China (20162052019); the Fundamental Research Funds for the Central Universities (NZ2016105); Science Foundation for the Excellent Young Scholars of Jiangsu Province of China (BK20170091);Natural Science Foundation for the Young Scholars of Jiangsu Province of China (BK20150730)

摘要

运动补偿(MOCO)是机载合成孔径雷达(SAR)获取高质量图像的关键,超高分辨率成像中,如何精确、高效地校正空变运动误差仍是很大的挑战。本文提出了一种改进的多级空变运动补偿方案,兼顾处理的精度和效率。首先,采用一步运动补偿法有效去除运动误差的距离空变分量,避免引起额外的距离徙动校正(RCMC)误差。同时,修正视线方向误差的传统计算方式,保证相位精度的前提下结合距离子带实现无插值的近似距离包络补偿。然后,利用距离子带降低残余方位空变误差的距离空变性和对方位时频关系的影响,显著改善宽波束情况下的聚焦效果,降低孔径依赖补偿算法的运算量。最终分辨率达到0.1 m,具有实际工程应用价值。点目标仿真和实测数据处理验证了所做的研究。

本文引用格式

杨鸣冬 , 俞翔 , 朱岱寅 . 基于距离子带的机载SAR高精度多级空变运动补偿[J]. 航空学报, 2018 , 39(2) : 321557 -321557 . DOI: 10.7527/S1000-6893.2017.21557

Abstract

MOtion COmpensation (MOCO) is the key to acquisition of high quality images by the airborne Synthetic Aperture Radar (SAR). In ultra-high resolution imaging, it is still a great challenge to correct space-variant motion errors accurately and efficiently. In this paper, an improved approach for multi-level space-variant MOCO with multi-level processing is proposed, which gives consideration to both precision and efficiency. First, the one-step MOCO algorithm is used to correct the range-variant component of the motion error effectively, avoiding inducing additional Range Cell Migration Correction (RCMC) error. Meanwhile, on the premise that the accuracy of phase correction should be guaranteed, the conventional calculation formula for line-of-sight range displacement is revised, and an approximate range envelope compensation without complex interpolation can be implemented with the subswath. Then, the subswath is used to reduce the range variance of the residual azimuth-variant error, as well as the influence of the error on the azimuth-to-frequency mapping. Consequently, the focusing effect in the case of wide beam is improved observably, and the computational burden of the aperture-dependent compensation algorithm is also reduced. The proposed approach can attain 0.1 m resolution, being useful in engineering practice. Simulations of point targets and processing of test data have validated the present research.

参考文献

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