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基于MIMO雷达的高分辨成像方法 被引量:12

High-Resolution Imaging Method Based on MIMO Radar
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摘要 以实现对空中目标的高分辨成像为目的,文章提出了基于MIMO雷达的技术解决方案。首先分析了MIMO雷达的工作原理和实现形式,而后建立了MIMO雷达成像模型,并推导出MIMO雷达多通道回波与目标空间频谱的对应关系。通过分析目标空间频谱的支撑区分布,论证了MIMO雷达阵列方位向的高分辨成像能力。最后进行了成像仿真实验。结果表明:在同等接收阵列条件下,MIMO阵列与实孔径阵列相比方位分辨率能够得到数倍的提高。 For the purpose of obtaining high-resolution image of airborne moving target, this paper proposes a technical approach based on MIMO radar. Firstly, the basic principle and scheme of MIMO radar are analyzed. Then MIMO radar imaging model is founded. The relationship between MIMO radar multi-channel data and the spatial spectrum of target is derived. The high azimuth resolution of MIMO radar array is proved through analysis of spatial spectral region of support. Finally, simulations are performed and the results show that MIMO radar array can improve the azimuth resolution by several times compared with real aperture array that has the same receiving array as MIMO radar.
出处 《微波学报》 CSCD 北大核心 2009年第5期79-83,共5页 Journal of Microwaves
基金 国防基础科研项目(A2820061305)
关键词 多输入多输出雷达 高分辨成像 空间频谱 MIMO radar, High-resolution imaging, Spatial spectrum
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参考文献13

  • 1刘永坦.雷达成像技术[M].哈尔滨:哈尔滨工业大学出版社,2001..
  • 2Bliss D W and Forsythe K W. Multiple-input Multiple- Output (MIMO) Radar and Imaging: Degrees of Freedom and Resolution[C]. Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers. CA: Pacific Grove, 2003. 54-59.
  • 3Daniel J Rabideau and Peter Parker. Ubiquitous MIMO Muhifunction Digital Array Radar [ C ]. Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers. CA: Pacific Grove, 2003. 1057-1064.
  • 4Fishier E, Haimovich A, Blum R, et al. MIMO radar: an idea whose time has come [ C ]. Proceedings of the IEEE Radar Conference. PA : Philadelphia, 2004. 71-78.
  • 5Fishier E, Haimovich A, Blum R, et al. Performance of MIMO radar systems: advantages of angular diversity [ C ]. Conference Record of the Thirty-Eighth Conference on Signals System and Computers. California, 2004. 7-10.
  • 6Forsythe K W, Bliss D W and Fawcett G S. Multiple-input multiple-output ( MIMO ) radar: performance issues [ C ]. Conference Record of the Thirty-Eighth Conference on Signals Systems and Computers. California, 2004. 310-315.
  • 7Robey F C, Coutts S, Weikle D, et al. MIMO radar theory and experimental results [ C ]. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, System and Computers. California, 2004. 300-304.
  • 8Haimovich A M, Blum R S, Cimini Jr L J. MIMO radar with widely separated antennas [ J ]. IEEE signal processing magazine, 2008( 1 ) : 116-129.
  • 9Li J, Stoica P, Xu L Z, Roberts W. On parameter identifiability of MIMO radar [ J ]. IEEE Signal Processing Letters, 2007, 14(12) : 968-971.
  • 10Li J, Stoica P. MIMO radar with colocated antennas [J]. IEEE Signal Processing Magazine, 2007, 24(5) : 106-114.

二级参考文献22

  • 1周蔚红,何建国,周东明.地下目标的瞬态电磁散射特性分析及成像[J].微波学报,2004,20(4):49-53. 被引量:2
  • 2王成,胡卫东,杜小勇,郁文贤.稀疏子带的多频段雷达信号融合超分辨距离成像[J].电子学报,2006,34(6):985-990. 被引量:13
  • 3王琦,李亚超,邢孟道,保铮.多视角ISAR成像研究[J].西安电子科技大学学报,2007,34(2):165-169. 被引量:11
  • 4Chew W C著,聂在平,柳清伙译.非均匀介质中的场与波[M].北京:电子工业出版社.1992.
  • 5FISHLER E, HAIMOVICH A, BLUM R, et al. MIMO radar: An idea whose time has come[A]. Proceedings of the IEEE Radar Conference [ C ]. Philadelphia, Pennsylvania: Wyndham Philadelphia, 2004.71 - 78.
  • 6FORSYTHE K W, BLISS D W, FAWCEIT G S. Multiple-input multiple-output ( MIMO ) radar: Performance issues [ A ]. Conference Record of the Thirty-Eighth Asilomar Conference on Signals,System and Computers[ C]. Pacific Grove, California:Mission Research Corporation,2004.310- 315.
  • 7DENG H. Polyphase code design for orthogonal netted radar systems[ J]. IEEE Transactions on Signal Processing, 2004,52 (11) :3126- 3135.
  • 8SKOLNIK M. Introduction to Radar Systems (3rd edition) [M]. New York: McGraw-Hill, 2002.50 - 53.
  • 9ROBEY F C, COUTTS S, WEIKLE D, et al. MIMO radar theory and experimental results [ A ]. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, System and Computers [ C ]. Pacific Grove, California: Mission Research Corporation, 2004.300 - 304.
  • 10CUOMO K M,PIOU J E,MAYHAN J T. Ultrawide-band coherent processing [ J ]. IEEE Transactions on Antennas and Propagation, 1999,47(6) : 1094 - 1107.

共引文献46

同被引文献102

  • 1黄琼,屈乐乐,吴秉横,方广有.压缩感知在超宽带雷达成像中的应用[J].电波科学学报,2010,25(1):77-82. 被引量:25
  • 2粟毅,朱宇涛,郁文贤,许红波,雷文太.多通道雷达天线阵列的设计理论与算法[J].中国科学:信息科学,2010,40(10):1372-1383. 被引量:10
  • 3袁国靖,丁君,郭陈江.一种快速高分辨率的DOA估计方法——FFT-BMUSIC法[J].微波学报,2005,21(1):10-13. 被引量:3
  • 4梁冬青,陈祝明,江朝抒.强地杂波背景下Chirp步进信号的运动补偿[J].现代雷达,2006,28(12):72-75. 被引量:3
  • 5Zhang Q, Yeo T S, Du G, et al. Estimation of three-dimensional motion parameters in interferometrie ISAR imaging[J]. IEEE Trans. Geosci. Remote Sens. , 2004, 2 (42) : 292 - 300.
  • 6Ma C Z, Yeo T S, Tan C S, et al. Three-dimensional imaging of targets using collocated MIMO radar [ J ]. IEEE Trans. Geosci. Remote Sens. , 2011. 4 (21) : 1- 13.
  • 7Duan G Q, Wang D W, Ma X Y, et al. Three-dimensional imaging via wideband MIMO radar system [ J ]. IEEE Geosci. Remote Sens. Lett. , 2010, 3(7) : 445 - 449.
  • 8Donoho D L. Compressed sensing[ J ]. IEEE Trans. Information Theory, 2006, 52(4) : 1289-1306.
  • 9Richard Baraniuk, Philippe Steeghs. Compressive radar imaging [ A ]. IEEE Radar Conference [ C ], Boston, MA, 2007:128-133.
  • 10Candes E. The restricted isometry property and its implications for compressed sensing [ J ]. Comptes Rendus Mathematic, 2006, 2,16 (9): 589-592.

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