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一种新的MIMO雷达DOA估计方法 被引量:9

A New Algorithm on Estimation of DOA Using MIMO Radar
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摘要 多输入多输出(MIMO)雷达通过分布式布阵可以获得空间分集增益,抑制目标闪烁,但过大的阵元间隔不利于DOA估计。采用发射阵列分布式布阵,接收阵列密布阵的收发分置系统,通过发射正交信号,在接收端经匹配滤波信号分选后构造虚拟子阵,提出了一种子阵优选算法,抑制目标闪烁,实现多目标超分辨。对子阵优选算法在MIMO二维空间定位中进行扩展,使MIMO同时具备抑制目标闪烁和提高自由度的特点。最后仿真实验表明了该算法的有效性。 MIMO radar obtains spatial diversity by distributed sensors, which are difficult for the estimation by DOA. In this paper, the transmit dements are widely separated with the receiving elements closely spaced. By transmitting orthogonal signals, virtual subarrays are designed through filters, and the Subarrays Selection(SAS) algorithm is proposed. The algorithm obtains spatial diversity as well as robust super-resolution direction-of-arrival estimation. The proposed algorithm is extended in 2-D location of MIMO, then it obtains spatial diversity as well as increased freedoms. Finally the simulated results show that the SAS algorithm is effective.
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2009年第3期92-96,共5页 Journal of National University of Defense Technology
基金 国家部委基金资助项目
关键词 阵列信号处理 MIMO雷达 正交信号 DOA array signal processing MIMO radar orthogonal signals DOA
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参考文献7

  • 1Fishler E, Haimovich A, Blum R. MIMO Radar: An Idea Whose Time Has Come[C]//Proc.of the IEEE Int. Conf . on Radar, Philadelphia, PA, 2004:71 -78.
  • 2Li J, Stoica P. MIMO Radar Signal Processing[M]. New Jersey: John Wiley & Sonss Inc., Hoboken,2009.
  • 3Fishler E, Haimovich A, Blum R, et al. Spatial Diversity in Radars -models and Detection Performance [ J]. IEEE Transactions on Signal Processing, 3.006,54(3):823 - 838.
  • 4Nikolaus H L, Fishier E, Haimovich A M. Evaluation of Transmit Diversity in MIMO Radar Direction Finding[J]. IEEE Transactions on Signal Processing, 21307,55(5) :2215 - 2225.
  • 5Bekkenmn I, Tabrikian J. Target Detection and Localization Using MIMO Radars sad Sonars [J].IEEE Transactions on Signal Processing, 2006, 54(10) : 3873 - 3883.
  • 6刘全,雍玲,魏急波.二维虚拟ESPRIT算法的改进[J].国防科技大学学报,2002,24(3):45-48. 被引量:1
  • 7罗鹏飞,等.统计信号处理基础:估计与检测理论[M].北京:电子工业出版社,2003.

二级参考文献3

  • 1Shan T, Wax M,Kailath T.On Spatial Smoothing for Direction -of-Arrival Estimation of Coherent Signals[J].IEEE Trans. on ASSP, 1985, 33(4):806-811.
  • 2Schmidt R.Multiple Emitter Location and Signal Parameter Est imation[J],IEEE Trans.AP,1986,34(3):276-280.
  • 3刘全,王雪松,皇甫堪.二维虚拟ESPRIT算法[J].国防科技大学学报,1999,21(4):63-66. 被引量:8

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同被引文献44

  • 1任勋立,廖桂生,曾操.一种低复杂度的二维波达方向估计方法[J].电波科学学报,2005,20(4):526-530. 被引量:12
  • 2何子述,韩春林,刘波.MIMO雷达概念及其技术特点分析[J].电子学报,2005,33(B12):2441-2445. 被引量:97
  • 3FISHLER E, HAIMOVICH A, BLUM R, et al. MI- MO radar: an idea whose time has come [C]//Proceedings of the IEEE Radar Conference, Newark, N J, USA, April 2004.. 71-78.
  • 4STOICA P, LI J, XIE Y. On probing signal design for MIMO radar [J]. IEEE Transactions On Signal Processing, 2007,55(8) :4151-4161.
  • 5XIA Wei , HE Zi shu. Multiple-target Localization and Estimation of MIMO Radars With Unknown Transmitted Signals [J]. IEEE International Symposium on Signal Processing and Information Technology, 2008: 3009-3012.
  • 6LEHMANN N H, FISHLER E , HAIMOVICH A M, et al. Evaluation of transmit diversity in MIMO-radar direction Finding[J]. IEEE Trans. Signal Processing, 2007, 55(5):2215-2225.
  • 7YE Z, ZHANG Y, XU X. Two-dimensional direction of arrival estimation in the presence of uncorrelated and coherent signals [J]. lET Signal Processing, 2009, 3(5):416-429.
  • 8Fishler E,Haimovich A,Blum R S,et al.MIMO Radar:An Idea Whose Time Has Come[C].Proceedings of the IEEE Conference on Radar,Philadelphia,Pennsylvania,USA:IEEE Press,2004:71-78.
  • 9Bekkerman I,Tabrikian J.Target Detection and Localization Using MIMO Radars and Sonars[J].IEEE Trans on Signal Processing,2006,54(10):3873-3883.
  • 10Lehmann N H,Haimovich A M,Blum R S,et al.High Resolution Capabilities of MIMO Radar[J].IEEE Trans on Signal Processing,2007,55(5):25-30.

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