弹载双基前视SAR扩展场景成像算法设计

doi:10.3969/j.issn.1001-2400.2016.03.006

西安电子科技大学学报 ›› 2016, Vol. 43 ›› Issue (3): 31-37.doi: 10.3969/j.issn.1001-2400.2016.03.006

弹载双基前视SAR扩展场景成像算法设计

孟自强;李亚超;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:2015-03-05 出版日期:2016-06-20 发布日期:2016-07-16
通讯作者: 孟自强
作者简介:孟自强(1988-)，男，西安电子科技大学博士研究生，E-mail：mengziqiang@hotmail.com．
基金资助:
国家自然科学基金资助项目(61001211, 61303035, 61471283)；中央高校基本科研业务费专项资金资助项目(K5051202016)

Imaging method for the extended scene of missile-borne bistatic forward-looking SAR

MENG Ziqiang;LI Yachao;XING Mengdao;BAO Zheng

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

Received:2015-03-05 Online:2016-06-20 Published:2016-07-16
Contact: MENG Ziqiang

摘要/Abstract

摘要：

针对一种新型双基合成孔径雷达成像模式——弹载双基前视合成孔径雷达，由于收发平台较高速度和加速度的引入，距离历程存在双根号下高阶项问题和该构型相对单/双基直线轨迹合成孔径雷达更为严重的距离徙动问题，提出了一种消除位置空变性的扩展场景成像算法．首先在时域对距离走动量进行校正以减少二维耦合量；然后，基于级数反演求得的高精度二维频谱，对各相位项的场景空变性进行量性分析，并通过高阶多项式拟合设计出空变的匹配滤波器，完成扩大场景成像．该方法处理简洁且具有更少的运算量，利于弹载平台下成像分析和后续处理．仿真实验表明，该算法有效地校正了场景空变性，提高了场景边缘点的聚焦性能，从而扩大了成像场景范围．

关键词: 弹载合成孔径雷达, 成像算法, 双基前视, 空变性校正, 级数反演

Abstract:

Due to such problems as high order terms in double square roots and more serious range cell migration than monostatic or bistatic SAR in range history, caused by high velocities and accelerations in both the transmitter and the receiver platforms in a new and special bistatic synthetic aperture radar imaging mode, i.e., missile-borne bistatic forward-looking synthetic aperture radar, an imaging algorithm correcting space variance for the extended scene for is proposed. The range walk is firstly corrected in the time domain to reduce the two dimensional (2D) coupling. And then the space variance of phase terms, in the 2D frequency spectrum of the echo signal with high precision gained by the method of series reversion, is analyzed quantitatively. The imaging is completed through polynomial fitting and variant match filter designing. With simple operation and less computation, our algorithm is convenient for imaging processing and subsequent procedure in the missile-borne platform. Simulation results show our imaging method significantly corrects the space variance, improves the focus quality of fringe targets, and thus extends the imaging scene.

Key words: missile-borne synthetic aperture radar, imaging algorithm, bistatic forward-looking, space variance revision, series reversion

中图分类号:

TN957

孟自强;李亚超;邢孟道;保铮. 弹载双基前视SAR扩展场景成像算法设计[J]. 西安电子科技大学学报, 2016, 43(3): 31-37.

MENG Ziqiang;LI Yachao;XING Mengdao;BAO Zheng. Imaging method for the extended scene of missile-borne bistatic forward-looking SAR[J]. Journal of Xidian University, 2016, 43(3): 31-37.

参考文献

［1］ LI Y C, MENG Z Q, XING M D, et al. Configuration Study of Missile-borne Bistatic Forward-looking SAR［C］//Proceedings of IEEE China Summit ＆ International Conference on Signal and Information Processing. Piscataway: IEEE, 2014: 184-188.
［2］ QI C D, SHI X M, BIAN M M, et al. Focusing Forward-looking Bistatic SAR Data with Chirp Scaling［J］. Electronics Letters, 2014, 50(3): 206-207.
［3］ VU V T, PETTERSSON M I. On Bistatic Forward-looking SAR Imaging［C］//Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2014: 3953-3956.
［4］毕开波, 杨兴宝, 陆永红. 导弹武器及其制导技术［M］. 北京：国防工业出版社, 2013.
［5］杨立波, 任笑真, 杨汝良. 末制导合成孔径雷达信号分析及成像处理［J］. 系统工程与电子技术, 2010, 32(6): 1176-1181.
YANG Libo, REN Xiaozhen, YANG Ruliang. Signal Analysis and Imaging Processing of Terminal Guidance Synthetic Aperture Radar［J］. Systems Engineering and Electronics, 2010, 32(6): 1176-1181.
［6］ CUMMING I G, WONG F H. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation［M］. Norwood: Artech House, 2005.
［7］李震宇, 杨军, 梁毅, 等. 弹载SAR子孔径大斜视成像方位空变校正新方法［J］. 西安电子科技大学学报, 2015, 42(4): 99-105.
LI Zhenyu, YANG Jun, LIANG Yi, et al. New Method for Azimuth-dependent Correction of the Highly Squint Missile-borne SAR Subaperture Imaging［J］. Journal of Xidian University, 2015, 42(4): 99-105.
［8］刘高高, 张林让, 易予生, 等. 一种曲线轨迹下的弹载前斜视成像算法［J］. 西安电子科技大学学报, 2011, 38(1): 123-130.
LIU Ggaogao, ZHANG Linrang, YI Yusheng, et al. Missile-borne Squint SAR Algorithm Based on a Curve Locus［J］. Journal of Xidian University, 2011, 38(1): 123-130.
［9］易予生, 张林让, 刘楠, 等. 基于级数反演的俯冲加速运动状态弹载SAR成像算法［J］. 系统工程与电子技术, 2009, 31(12): 2863-2866.
YI Yusheng, ZHANG Linrang, LIU Nan, et al. Imaging Algorithm for Missile-borne SAR with Diving Acceleration Based on Series Reversion ［J］. Systems Engineering and Electronics, 2009, 31(12): 2863-2866.
［10］ WU J J, LI Z Y, HUANG Y L, et al. Focusing Bistatic Forward-looking SAR with Stationary Transmitter Based on Keystone Transform and Nonlinear Chirp Scaling［J］. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 148-152.
［11］ ZHANG H R, WANG Y, LI J W. New Applications of Parameter-adjusting Polar Format Algorithm in Spotlight Forward-looking Bistatic SAR Processing［C］//Proceedings of Asia-Pacific Conference on Synthetic Aperture Radar. Washington: IEEE Computer Society, 2013: 384-387.
［12］ NEO Y L, WONG F, CUMMING I G. A Two-dimensional Spectrum for Bisstatic SAR Processing Using Series Reversion［J］. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1): 93-96.
［13］周鹏, 周松, 熊涛, 等. 基于级数反演的弹载SAR下降段CZT成像算法［J］. 电子与信息学报, 2010, 32(12): 2861-2867.
ZHOU Peng, ZHOU Song, XIONG Tao, et al. A Chirp-Z Transform Imaging Algorithm for Missile-borne SAR with Diving Maneuver Based on the Method of Series Reversion［J］. Journal of Electronics ＆ Information Technology, 2010, 32(12): 2861-2867.

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弹载双基前视SAR扩展场景成像算法设计

Imaging method for the extended scene of missile-borne bistatic forward-looking SAR

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