联合的平动和转动相位自聚焦方法

doi:10.3969/j.issn.1001-2400.2016.05.006

西安电子科技大学学报

联合的平动和转动相位自聚焦方法

张榆红1;邢孟道1,2

(1. 西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071；
2. 西安电子科技大学信息感知协同创新中心，陕西西安 710071)

收稿日期:2015-07-09 出版日期:2016-10-20 发布日期:2016-12-02
作者简介:张榆红(1987-)，女，西安电子科技大学博士研究生，E-mail: xiaoshan198717@163.com．
基金资助:
国家自然科学基金资助项目(61301280)

Approach to joint translational and rotational phase auto-focusing

ZHANG Yuhong1;XING Mengdao1,2

(1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China;
2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian Univ., Xi'an 710071, China)

Received:2015-07-09 Online:2016-10-20 Published:2016-12-02

摘要/Abstract

摘要：

在高分辨逆合成孔径雷达成像中，目标的转动会在回波信号中引入时变的多普勒调制，导致距离空变的相位误差，同时传统的平动相位误差补偿也会因没有考虑转动相位误差而性能严重下降．因此，提出了一种联合的相位自聚焦方法，实现对平动和转动的相位误差的联合校正．首先根据最小熵准则将联合相位误差转化为距离非空变和距离空变的相位误差，然后运用基于拟牛顿的坐标梯度下降法实现对最小熵优化问题的求解．

关键词: 逆合成孔径雷达, 联合相位误差校正, 最小熵, 坐标梯度下降法

Abstract:

In high-resolution inverse synthetic aperture radar imaging, the rotational motion of the targets tends to introduce the time-variant Doppler modulation in the echo, which acts as the range-variant phase errors in phase history. Moreover, the performance of translational phase error compensation may be dramatically degraded without properly considering the range-variant phase errors. In this paper, an approach to joint translational and rotational phase auto-focusing is proposed. In the procedure, the joint phase error correction is modeled as range-invariant and range-variant phase errors using a metric of minimum entropy. Then the minimum-entropy optimization is solved by employing a coordinate descend method based on the quasi-Newton solver. Finally, experiment based on simulated data is performed to confirm the effectiveness of the proposed algorithm.

Key words: inverse synthetic aperture radar (ISAR), joint phase error correction, minimum entropy, coordinate descend method

张榆红;邢孟道. 联合的平动和转动相位自聚焦方法[J]. 西安电子科技大学学报, 2016, 43(5): 31-35.

ZHANG Yuhong;XING Mengdao. Approach to joint translational and rotational phase auto-focusing[J]. Journal of Xidian University, 2016, 43(5): 31-35.

参考文献

［1］ CHEN V C, MARTORELLA M. Inverse Synthetic Aperture Radar Imaging［M］. Edison, NJ：SciTech Publishing, 2014.
［2］ ZHU D Y, WANG L, YU Y S, et al. Robust ISAR Range Alignment via Minimizing the Entropy of the Average Range Profiles［J］. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 204-208.
［3］ THOMAS K J, ALAA K A. Monotonic Iterative Algorithm for Minimum-entropy Autofocus［C］//IEEE International Conference on Image Processing: 5. Piscataway: IEEE, 2006: 645-648.
［4］ LUG Y, BAO Z. Compensation of Scatter Migration through Resolution Cell in Inverse Synthetic Aperture Radar Imaging［J］. IEE Proceedings-Radar, Sonar and Navigation, 2000, 147(2): 80-85.
［5］ XING M D, WU R B, LAN J Q, et al. Migration through Resolution Cell Compensation in ISAR Imaging［J］. IEEE Geoscience and Remote Sensing Letters, 2004, 1(2): 141-144.
［6］ CHEN V C, MICELI W J. Time-varying Spectral Analysis for Radar Imaging of Maneuvering Targets［J］. IEE Proceedings-Radar, Sonar and Navigation, 1998, 145(5) : 262-268.
［7］ XU G, XING M D, ZHANG L, et al. Sparse-apertures ISAR Imaging and Scaling for Maneuvering Targets［J］. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2014, 7(7): 2942-2956.
［8］徐刚，杨磊，张磊，等. 一种加权最小熵的ISAR自聚焦算法［J］. 电子与信息学报，2011, 33(8) :1809-1815.
XU Gang, YANG Lei, ZHANG Lei, et al. Weighted Minimum Entropy Autofocus Algorithm for ISAR Imaging［J］. Journal of Electronics & Information Technology，2011, 33(8): 1809-1815.
［9］黄大荣，张磊，邢孟道，等. 机动目标ISAR自聚焦新方法［J］. 西安电子科技大学学报，2014, 41(3): 71-78.
HUANG Darong, ZHANG Lei, XING Mengdao, et al. ISAR Autofocus Method for Maneuvering Targets［J］. Journal of Xidian University, 2014, 41(3): 71-78.
［10］陈倩倩，邢孟道，李浩林，等.一种适用于低信噪比短CPI的ISAR横向定标算法［J］. 西安电子科技大学学报，2014, 41(6): 12-17.
CHEN Qianqian, XING Mengdao, LI Haolin, et al. Cross-range Scaling for ISAR Imaging within Short CPI and Low SNR［J］. Journal of Xidian University, 2014, 41(6): 12-17.
［11］ SHENG J L, XING M D, ZHANG L, et al. ISAR Cross-range Scaling by Using Sharpness Maximization［J］. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1): 165-169.

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联合的平动和转动相位自聚焦方法

Approach to joint translational and rotational phase auto-focusing

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