适用于非合作发射源的合成孔径雷达无源成像方法
收稿日期: 2012-07-10
修回日期: 2013-01-10
网络出版日期: 2013-02-22
基金资助
国家自然科学基金(61001151);江苏高校优势学科建设工程资助
A Passive Synthetic Aperture Radar Imaging Method for Non-cooperative Transmitters
Received date: 2012-07-10
Revised date: 2013-01-10
Online published: 2013-02-22
Supported by
National Natural Science Foundation of China (61001151); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
合成孔径雷达(SAR)具有突出的高分辨率成像能力,在民用和军用领域体现出重要的应用价值。在复杂的作战环境中,提高SAR的电子对抗性能成为SAR技术发展考虑的重要方面。提出一种新的SAR无源成像方法,该成像方法将单部机载SAR接收机或多部机载SAR接收机在不同位置处接收到的回波信号相关,对相关后的信号采用滤波反投影方法进行成像,可重建场景的辐射率。该成像方法不需要已知发射源的波形和位置信息,适用于非合作发射源,具有良好的电子对抗性,并且适用于任意载机飞行轨迹、多基SAR等情形。仿真验证以双基情形为例,验证了该SAR无源成像方法的有效性,并分析了影响成像质量的各关键因素。
张璇 , 汪玲 . 适用于非合作发射源的合成孔径雷达无源成像方法[J]. 航空学报, 2013 , 34(6) : 1397 -1404 . DOI: 10.7527/S1000-6893.2013.0059
Synthetic aperture radar (SAR) with the feature of high resolution imaging is of considerable significance in both civil and military applications. With the increasing complexity of the battle environment, to improve SAR electronic counter performance becomes one of the most important concerns in the development of SAR technology. This paper presents a novel passive SAR imaging method, which first correlates the received signals at a single SAR receiver or multiple SAR receivers, and then reconstructs the scene radiance by developing a filtered-back-projection technology based on this correlation signal model. The method does not require a priori information of the transmitted waveform and the location of the transmitters, which makes it applicable to the case of non-cooperative transmitters. It is also applicable to arbitrary flight trajectories and multistatic SAR. The paper discusses the imaging in the framework of a bistatic SAR, where it demonstrates the effectiveness of the proposed passive SAR imaging method, and analyzes the main factors that influence the quality of the reconstructed image.
[1] O' Hagan D W, Baker C J. Passive bistatic radar (PBR) using FM radio illuminators of opportunity//New trends for environmental monitoring using passive systems. Hyeres: IEEE, 2008: 1-6.
[2] Chetty K, Woodbridge K, Guo H, et al. Passive bistatic WiMAX radar for marine surveillance. 2010 IEEE Radar Conference. Washington D.C.: IEEE, 2010: 188-193.
[3] Sun H B, Tan D K P, Lu Y L, et al. Applications of passive surveillance radar system using cell phone base station illuminators. Aerospace and Electronic Systems Magazine, 2010, 25(3): 10-18.
[4] Falcone P, Colone F, Bongioanni C, et al. Experimental results for OFDM WiFi based passive bistatic radar. 2010 IEEE Radar Conference. Washington D.C.: IEEE, 2010: 516-521.
[5] Christiansen J M, Olsen K E. Range and Doppler walk in DVB-T based passive bistatic radar. 2010 IEEE Radar Conference. Washington D.C.: IEEE, 2010: 620-626.
[6] Wang D H, Wang J. Imaging of moving target based on external illuminators. Radar Science and Technology, 2006, 4(3): 170-176. (in Chinese) 王大海, 王俊. 基于外辐射源的运动目标成像算法.雷达科学与技术, 2006, 4(3): 170-176.
[7] Wang S G, Wang J. Distributive passive radar imaging algorithm based on multiple external illuminators. Journal of Xidian University, 2006, 33(6): 907-911. (in Chinese) 王森根, 王俊. 基于外辐射源的分布式无源雷达成像算法. 西安电子科技大学学报, 2006, 33(6): 907-911.
[8] Wang J, Niu Y H. Two algorithm for passive radar imaging based on multiple television stations. Systems Engineering and Electronics, 2007, 29(8): 1263-1267. (in Chinese) 王俊, 牛溢华. 基于多电视台的两种无源雷达成像算法. 系统工程与电子技术, 2007, 29(8): 1263-1267.
[9] Zhang X, Wang L. An echo-correlation based passive imaging method for synthetic aperture radar. Journal of Electronics & Information Technology, 2012, 34(6): 1511-1515. (in Chinese) 张璇, 汪玲. 一种基于回波相关的无源合成孔径雷达成像方法. 电子与信息学报, 2012, 34(6): 1511-1515.
[10] Wang L, Yazici B. Bistatic synthetic aperture radar imaging using ultra narrow-band continuous waveforms. 2011 IEEE Radar Conference.Kansas City: IEEE, 2011: 62-67.
[11] Yarman C E, Yazici B. Synthetic aperture hitchhiker imaging. IEEE Transactions on Image Processing, 2008, 17(11): 2156-2173.
[12] Herman G T, Sabatier P C. Basic methods of tomography and inverse problems: a set of lectures. Bristol, Philadelphia: Adam Hilger, 1987.
[13] Barrett H, Myers K. Foundations of image science. Hoboken, NJ: Wiley-Interscience, 2004.
[14] Natterer F, Wübbeling F. Mathematical methods in image reconstruction. Philadelphia, PA: Society for Industrial & Applied Mathematics, 2001.
[15] Nolan C J, Cheney M. Synthetic aperture inversion. Inverse Problem, 2002, 18: 221-236.
[16] ETSI EN 300 744 V1.6.1 (2009-01): digital video broadcasting (DVB); framing structure, channel coding and modulation for digital terrestrial television. France: European Telecommunications Standards Institute, 2009.
/
| 〈 |
|
〉 |
CJA