西安电子科技大学学报

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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. (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
  • 通讯作者: 张榆红
  • 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. (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
  • Contact: ZHANG Yuhong

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