魏嘉琪¹,
张磊^{1, 2,,},
刘宏伟^{1, 2},
周叶剑^{1, 2}
1.西安电子科技大学雷达信号处理国家重点实验室 ??西安 ??710071
2.西安电子科技大学信息感知技术协同创新中心 ??西安 ??710071
基金项目:国家自然科学基金(61771372, 61771367)

详细信息

作者简介:魏嘉琪：女，1994年生，博士生，研究方向为ISAR成像
张磊：男，1984年生，副教授，研究方向为SAR/ISAR成像与运动补偿
刘宏伟：男，1971年生，教授，研究方向为宽带雷达信号处理
周叶剑：男，1993年生，博士生，研究方向为ISAR成像

通讯作者:张磊　 leizhang@xidian.edu.cn

中图分类号:TN957.51

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出版历程

收稿日期:2017-12-28
修回日期:2018-05-18
网络出版日期:2018-07-12
刊出日期:2018-09-01

Micro-motion and Geometric Parameters Estimation of Wide-band Radar Cone-shaped Targets Based on Phase-derived Range

Jiaqi WEI¹,
Lei ZHANG^{1, 2,,},
Hongwei LIU^{1, 2},
Yejian ZHOU^{1, 2}
1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2. Collaborative Innovation Center of Information Sensing and Understanding at Xidian University, Xi’an 710071, China
Funds:The National Natural Science Foundation of China (61771372, 61771367)


摘要
摘要:针对传统方法基于宽带回波距离像包络信息提取微动分辨率较低这一问题，该文提出了一种结合宽带回波距离像包络信息和相位信息的微动特征参数化估计新方法。该方法通过对回波距离像包络分段并对各段进行Keystone变换实现距离方位解耦和，得到目标由于微动引起的各散射点相对参考点径向微距变化粗估计。利用粗估计结果提取回波相位信息，由相位测距原理可得到各散射点的精确微距曲线，进而完成进动目标运动及几何参数的估计。相比于只利用距离像包络信息提取微动的传统方法，所提算法可有效提升参数估计精度。仿真实验验证了其有效性和稳定性。
关键词:宽带信号处理/
相位测距/
微动特征提取/
参数估计
Abstract:The traditional method used to extract micro-motion is based on the envelope information of the wideband echo range profile, the estimation accuracy of the traditional method is unsatisfactory. To deal with this problem, a new method for parameter estimation of micro-motion feature is proposed, which is implemented by combining envelope information and phase information of the wideband echo range profile. Firstly, the Keystone transform is performed to each segment obtained by segmenting the envelope of the echo range profile to estimate micro-motion coarsely. Then, the echo phase information is extracted according to the coarse estimation results. The accurate micro-motion curve of each scattering point can be obtained by the principle of phase-derived range. Finally, the estimation of the micro-motion and geometric parameters of the precession target is completed by utilizing the extracted micro-motion curve. Compared with the traditional method, the proposed algorithm can improve the precision of parameter estimation effectively. The effectiveness and stability of the proposed algorithm is verified by simulation experiments.
Key words:Wideband signal processing/
Phase-derived range/
Micro-motion feature extraction/
Parameter estimation



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