张磊,,
刘宏伟
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)，国家****科学基金(61525105)，高等学校学科创新引智计划(111计划)(B18039)
详细信息
作者简介:邵帅：男，1993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
通讯作者:张磊 leizhang@xidian.edu.cn
中图分类号:TN957.52计量
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被引次数:0
出版历程
收稿日期:2018-05-28
修回日期:2018-12-06
网络出版日期:2018-12-24
刊出日期:2019-04-01
A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization
Shuai SHAO,Lei ZHANG,,
Hongwei LIU
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), The National Science Fund for Distinguished Young Scholars (61525105), The 111 Project (B18039)
摘要
摘要:针对特显点选取易受噪声影响这一问题，该文提出一种基于全局图像最大对比度的逆合成孔径雷达(ISAR)方位定标算法，并在实现方位定标的同时完成距离空变相位补偿自聚焦。该方法以图像对比度作为代价函数，利用BFGS算法实现代价函数的最大化高效求解，获得目标信号的距离空变调频率，进而计算目标有效转动角速度，实现方位定标和距离空变相位自聚焦。仿真和实测数据实验对比验证了该算法的有效性和稳健性。
关键词:逆合成孔径雷达/
方位定标/
最大对比度/
BFGS算法
Abstract:Due to the selection of dominant scatterers is easy to be affected by noise, a novel Inverse Synthetic Aperture Radar (ISAR) cross-range scaling algorithm based on image contrast maximization is proposed, which can realize the cross-range scaling while achieving the range spatial-variant phase autofocus. With the image contrast as cost function, the cross-range chirp rate of received signal can be estimated accurately using Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Based on the estimated results, the cross-range scaling of ISAR image and precise phase autofocus can be implemented. Both simulated and real data experiments confirm the effectiveness and robustness of the proposed algorithm.
Key words:Inverse Synthetic Aperture Radar (ISAR)/
Cross-range scaling/
Maximum contrast/
Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm
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https://jeit.ac.cn/article/exportPdf?id=e3f44ed4-7c5d-471d-870b-93dade835ea9
