张成祥1,
赵迪2,
谭晓衡3,
周喜川3,
占木杨1
1.重庆大学通信与测控中心 ??重庆 ??400044
2.上海卫星工程研究所 ??上海 ??200240
3.重庆大学通信工程学院 ??重庆 ??400044
基金项目:国家自然科学基金(61501068, 61571069),上海航天科技创新基金(SAST2017041),广西无线宽带通信与信号处理重点实验室2017年主任基金(GXKL06170202),重庆市基础研究与前沿探索项目(cstc2018jcyjAX0351)
详细信息
作者简介:李东:男,1983年生,副教授,研究方向为SAR/ISAR成像算法设计、参数估计等
张成祥:男,1990年生,硕士生,研究方向为ISAR成像算法设计以及参数估计
赵迪:男,1982年生,高级工程师,研究方向为雷达信号处理
谭晓衡:男,1976年生,教授,研究方向为信号检测与估计
周喜川:男,1983年生,教授,研究方向为智能信号处理
占木杨:男,1991年生,硕士生,研究方向为ISAR成像算法设计
通讯作者:李东 lidongcuit@126.com
中图分类号:TN957计量
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被引次数:0
出版历程
收稿日期:2018-03-30
修回日期:2018-08-13
网络出版日期:2018-09-03
刊出日期:2019-02-01
Fast Cross-range Scaling for ISAR Imaging Based on Pseudo Polar Fourier Transform
Dong LI1, 2,,,Chengxiang ZHANG1,
Di ZHAO2,
Xiaoheng TAN3,
Xichuan ZHOU3,
Muyang ZHAN1
1. Center of Communication and Tracking Telemetering Command, Chongqing University, Chongqing 400044, China
2. Shanghai Satellite Engineering Research Institute, Shanghai 200240, China
3. College of Communication Engineering, Chongqing University, Chongqing 400044, China
Funds:The National Natural Science Foundation of China (61501068, 61571069), The Shanghai Aerospace Science and Technology Innovation Fund (SAST2017041), 2017 Director Fund of Key Laboratory of Wireless Broadband Communication and Signal Processing in Guangxi (GXKL06170202), The Chongqing Research Program of Basic Research and Frontier Technology (cstc2018jcyjAX0351)
摘要
摘要:在逆合成孔径雷达(ISAR)成像中,由距离多普勒或时频分析方法得到的ISAR图像方位向仅是目标的多普勒频率分布,不能反映目标的真实形状,需对ISAR图像进行方位定标。该文提出一种快速的ISAR方位定标方法来估计目标的旋转角速度(RAV)。首先,该方法利用高效的伪逆极坐标快速傅里叶变换把两幅不同时刻ISAR图像的旋转运动转化为沿极角的平移运动。然后,在极坐标域定义了一种新的积分相关代价函数来粗估目标的RAV。最后,通过采用二分法估计得到最优的RAV,进而实现ISAR方位定标。相比于现有方位定标算法,所提方法避免了插值操作带来的精度损失和高计算复杂度问题。计算机仿真和实测数据实验结果证明了所提方法的有效性。
关键词:逆合成孔径雷达/
旋转角速度/
伪逆极坐标快速傅里叶变换/
二分法
Abstract:For the Inverse Synthetic Aperture Radar (ISAR) imaging, the ISAR image obtained by the Range-Doppler (RD) or time-frequency analysis methods can not display the target's real shape due to its azimuth relating to the target Doppler frequency, thus the cross-range scaling is required for ISAR image. In this paper, a fast cross-range scaling method for ISAR is proposed to estimate the Rotational Angular Velocity (RAV). Firstly, the proposed method utilizes efficient Pseudo Polar Fast Fourier Transform (PPFFT) to transform the rotational motion of two ISAR images from two different instant time into translation in the polar angle direction. Then, a new cost function called integrated correction is defined to obtain the RAV coarse estimation. Finally, the optimal RAV can be estimated using the Bisection method to realize the cross-range scaling. Compared with the available algorithms, the proposed method avoids the problems of precision loss and high computational complexity caused by interpolation operation. The results of computer simulation and real data experiments are provided to demonstrate the validity of the proposed method.
Key words:Inverse Synthetic Aperture Radar (ISAR)/
Rotational Angular Velocity (RAV)/
Pseudo Polar Fast Fourier Transform (PPFFT)/
Bisection method
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