ACTA AERONAUTICAET ASTRONAUTICA SINICA >
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
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.
ZHANG Xuan , WANG Ling . A Passive Synthetic Aperture Radar Imaging Method for Non-cooperative Transmitters[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(6) : 1397 -1404 . DOI: 10.7527/S1000-6893.2013.0059
[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