机动目标ISAR自聚焦新方法

doi:10.3969/j.issn.1001-2400.2014.03.011

J4 ›› 2014, Vol. 41 ›› Issue (3): 71-78.doi: 10.3969/j.issn.1001-2400.2014.03.011

机动目标ISAR自聚焦新方法

黄大荣;张磊;邢孟道;保铮

(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)

收稿日期:2013-06-18 出版日期:2014-06-20 发布日期:2014-07-10
通讯作者: 黄大荣
作者简介:黄大荣(1986-)，男，西安电子科技大学博士研究生，E-mail: rsphdr@163.com．
基金资助:
国家自然科学基金资助项目(61301280)；中央高校基本科研业务费资助项目(K5051302001, K5051302038)

ISAR autofocus method for maneuvering targets

HUANG Darong;ZHANG Lei;XING Mengdao;BAO Zheng

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China)

Received:2013-06-18 Online:2014-06-20 Published:2014-07-10
Contact: HUANG Darong

摘要/Abstract

摘要：

针对机动目标提出一种新的自聚焦方法．该方法在平动相位误差估计过程中考虑对方位调频相位的优化估计；通过对多样本信号的相干积累，有效提高低信噪比下的估计性能;结合迭代处理可进一步提高相位误差估计的精度．仿真和实测数据处理结果表明，提出的方法具有比传统方法更好的自聚焦效果和对噪声的容忍性．

关键词: 机动目标, 二次相位补偿, 初始相位补偿, 自聚焦

Abstract:

A new autofocus method for maneuvering targets is proposed. The chirp component of the signal can be obtained by means of exhaustive linear search. The random initial phase terms are evaluated precisely by accumulating all the coherent signals in the low SNR case, and the accuracy of estimating the phase error terms can be improved by iteration. Finally, simulation results measured data verify the validity of the proposed algorithm.

Key words: maneuvering targets, second-order phase terms compensation, random initial phase terms, autofocus

黄大荣;张磊;邢孟道;保铮. 机动目标ISAR自聚焦新方法[J]. J4, 2014, 41(3): 71-78.

HUANG Darong;ZHANG Lei;XING Mengdao;BAO Zheng. ISAR autofocus method for maneuvering targets[J]. J4, 2014, 41(3): 71-78.

参考文献

［1］保铮, 邢孟道, 王彤. 雷达成像技术［M］. 北京: 电子工业出版社, 2005.
［2］ Chen C C, Andrews H C. Target-motion-induced Radar Imaging ［J］. IEEE Transactions on Aerospace and Electronic System, 1980, 16(1): 2-14.
［3］ Wang G Y, Bao Z. The Minimum Entropy Criterion of Range Alignment in ISAR Motion Compensation ［C］//Proceedings of Radar Systems(IEE Conference Publication No 449). Stevenage: IEE, 1997: 236-239.
［4］ Xing M D, Wu R B, Lan J Q, et al. Migration through Resolution Cell Composition in ISAR Imaging ［J］. IEEE Geoscience and Remote Sensing Letters, 2004, 1(2): 141-144.
［5］ Zhang L, Qiao Z, Xing M D, et al. Arobust Motion Compensation Approach for UAV SAR Imagery ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(8): 3202-3218.
［6］ Falcone P, Colone F, Lombardo P, et al. WiFi-based Passive ISAR for High Resolution Cross-range Profiling of Moving Targets ［C］//9th European Conference on Synthetic Aperture Radar. Piscataway: IEEE, 2012: 279-282.
［7］ Jiang R, Zhu D, Shen M, et al. Synthetic Aperture Radar Autofocus Based on Projection Approximation Subspace Tracking ［J］. IET Radar, Sonar and Navigation, 2012, 6(6): 465-471.
［8］ Joachim H, Ender G. Autofocusing ISAR Images Via Sparse Representation ［C］//9th European Conference on Synthetic Aperture Radar. Piscataway: IEEE, 2012: 203-206.
［9］ Brisken S, Martorella M, Mathy T, et al. Multistatic ISAR Autofocussing Using Image Contrast Optimization ［C］//IET International Conference on Radar Systems. Stevenage: IET, 2012: 1623.
［10］ Ye W, Yeo T, Bao Z. Weighted Least-square Estimation of Phase Errors for SAR/ISAR Autofocus ［J］. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2488-2494.
［11］ Jakowatz C, Wahl D. Eigenvector Method for Maximum-likelihood Estimation of Phase Errors in Synthetic-aperture-radar Imagery ［J］. Journal of the Optical Society of America, 1993, 10(12): 2539-2546.
［12］ Wahl D, Eichel P H, Ghiglia D C, et al. Phase Gradient Autofocus—a Robust Tool for High Resolution SAR Phase Correction ［J］. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(3): 827-834.

[1]	陈帅霖;罗丰;张林让;胡冲;陈世超. 采用动态规划的机动目标检测前跟踪算法[J]. 西安电子科技大学学报, 2017, 44(5): 39-45.
[2]	章建成;苏涛. 一种新的窄带雷达高速机动多目标检测算法[J]. 西安电子科技大学学报, 2017, 44(2): 20-26.
[3]	曾乐天;梁毅;李震宇;怀园园;邢孟道. 一种加速时域成像算法及其自聚焦方法[J]. 西安电子科技大学学报, 2017, 44(1): 1-5+70.
[4]	李艳艳;苏涛. 机动目标跟踪的分布式MIMO雷达资源分配算法[J]. 西安电子科技大学学报, 2016, 43(4): 10-16.
[5]	胡子军;张林让;赵珊珊;王敬丽. 组网无源雷达高速多目标初始化及跟踪算法[J]. J4, 2014, 41(6): 25-30+110.
[6]	李浩林;陈露露;张磊;邢孟道;保铮. 相位梯度自聚焦在FFBP聚束SAR处理中的应用[J]. J4, 2014, 41(3): 26-32.
[7]	张磊;李浩林;邢孟道;保铮. 快速后向投影合成孔径雷达成像的自聚焦方法[J]. J4, 2014, 41(1): 69-74.
[8]	杨磊;熊涛;张磊;邢孟道. 应用联合自聚焦实现低信噪比ISAR成像平动补偿[J]. J4, 2012, 39(3): 63-71.
[9]	杨金龙;姬红兵;樊振华. 一种模糊推理强机动目标跟踪新算法[J]. J4, 2011, 38(2): 72-76+128.
[10]	杨争斌;郭福成;周一宇. 基于径向加速度的机动辐射源单站被动跟踪算法 [J]. J4, 2007, 34(7): 104-107.
[11]	李燕平;邢孟道;保铮. 一种改进的相位梯度自聚焦算法 [J]. J4, 2007, 34(3): 386-391.
[12]	马仑;廖桂生. 一种基于最大全变差准则的SAR图像自聚焦算法[J]. J4, 2006, 33(2): 169-172.
[13]	辛云宏1;王保平2;杨万海3. 基于序贯重要采样算法的被动单站机动目标跟踪[J]. J4, 2005, 32(5): 820-824.
[14]	乔向东;王宝树;李涛. 基于EM算法的杂波环境下机动目标跟踪研究[J]. J4, 2003, 30(4): 514-519.
[15]	乔向东;王宝树;李涛;华冠文. 一种高度机动目标的“当前”统计Jerk模型[J]. J4, 2002, 29(4): 534-540.

机动目标ISAR自聚焦新方法

ISAR autofocus method for maneuvering targets

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 4