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基于MUSIC算法的MIMO雷达的角度估计 被引量:3

Angle estimation for MIMO Radar System based on Multiple Signal Classification Estimation Algorithms
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摘要 多输入多输出(Multiple-Input Multiple-Output:MIMO)雷达利用多天线发射互相正交的信号,可以实现灵活的发射分集设计,具有高分辨率的空间谱估计性能。为降低计算的复杂度,提升信噪比高时信号的性能,文章基于MUSIC算法对双基站雷达信号的到达角与发射角作相应估计,结合优化方法和误差准则,对不同参数条件下的该算法作了仿真分析和综合比较。结果证明了该算法的有效性。 Multiple-- input-- multiple-- output (MIMO) radar, which utilize multiple antennas to simul taneously transmit orthogonal signals, offers flexible design of transmit diversity and high resolution of spatial spectrum estimation. To reduce the calculating complexity and enhance the signal quality at high SNR(Signal to Noise Ratio), a direction of departure (DOD) and direction of arrival (DOA) estimation algorithm is proposed in bistatic MIMO radar based on MUSIC estimation algorithm. Combined with optimization method and error criterion, simulation analysis and comprehensive comparison has been made for this algorithm in different parameter condition, and the results demonstrate its effectiveness and robustness.
作者 付翔 张小飞
出处 《滁州学院学报》 2012年第2期39-41,44,共4页 Journal of Chuzhou University
基金 安徽省高校省级科学研究项目自然科学一般项目(KJ2012Z279) 滁州学院科研项目(2011kj018B)
关键词 多输入多输出雷达 角度估计 多重信号分类 Multiple--input multiple--output (MIMO) radar direction of departure (DOD) directionof arrival (DOA)~ Multiple Signal Classification
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参考文献12

  • 1E. Fishler, A. Haimovich,R, S. Blum, et al. MIMO radar: An idea whose time has come[C]. Proceedings of the IEEE Con- ference on Radar[C]. Philadelphia, Pennsylvania USA: IEEE Press, 2004 : 71-- 78.
  • 2Tabrikian J, Bekkerman I. Transmission diversity smoothing for multi- target localization [radar/sonar systems] [A]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ' 05 ) [ C]. Philadelphia, Pennsyl- vania USA: IEEE Press, 2005 : 1041 -- 1044.
  • 3Luzhou Xu, Jian Li. Iterative generalized--likelihood ratio test for MIMO radar[J]. IEEE Transactions on Signal Pro- cessing, 2007,55 (6) : 2375-- 2385.
  • 4Lehmann N H, Fishier E, Haimovich A M, et al. Evaluation of transmit diversity in MIMO radar direction finding[J]. IEEE Transactions on Signal Processing,2007,55(5) :2215--2225.
  • 5王艳苹,张志斌,陈娟,杨晓玉.MIMO雷达DOA估计方法分析[J].电子科技,2010,23(3):76-80. 被引量:9
  • 6R. O. Sehmidt, Multiple emitter location and signal parameter speeetral estimation[J]. in Prc. RADCS plectrum Estimation Workshop, oct1979, or IEEE Trans, AP1986,34 (3) : 276--280.
  • 7魏平.高分辨阵列测向系统研究[D].电子科技大学,1996.
  • 8Thng, A. Cantoni, and Y. H. Leungo Derivative constrained optimum broad--band antenna array ~J~. IEEE Trans. Sig- nal Processing, 1993, 41(7) : 2376-- 2388.
  • 9J. W. R. Griffiths. Adaptive array processing: a tutorial [J]. IEEE Proc, 1983,130: 3-- 10.
  • 10赵永波,刘茂仓,张守宏.一种改进的基于特征空间自适应波束形成算法[J].电子学报,2000,28(6):16-18. 被引量:23

二级参考文献12

  • 1Bliss D W,Forsythe K W.Multiple-input Multiple-output (MIMO) Radar and Imaging:Degree of Freedom and Resolution[C].Conference Record of the 37th Asilomar Conference on Signals,Systems and Computers,2003(1):54-59.
  • 2Rabideau D J,Parker P.Ubiquitous MIMO Multifunction Digital Array Radar[C].2003 Conference Record of the Thirty-Seventh Asilomar Conference on Signals,Systems and Computers,2003(1):1057-1064.
  • 3Hirakawa M,Tsuji H,Sano A.Computationally Efficient DOA Estimation Based on Linear Prediction with Capon Method[C].IEEE Trans.Acoust,Speech,Signal Processing,2001(5):3009-3012.
  • 4Stoica P,Wang Zhisong,Li Jian.Robust Capon Beamforming[J].IEEE Signal Processing Letters,2003,10(6):172-175.
  • 5Roy R,Paulraj A,Kailath T.ESPRIT-A Subspace Rotation Approach to Estimation of Cisoids in Noise[J].IEEE Trans.Acoust,Speech,Signal Processing,1986,34(6):1340-1342.
  • 6Schmidt R O.Multiple Emitter Location and Signal Parameter Estimation[C].Rome,NY:in Proc RADC Spectral Estimation Workshop,1979:243-258.
  • 7Bienvenu G,Kopp L.Adaptivity to Background Noise Spatial Coherence for High Resolution Passive Methods,in Proc[C].IEEE Int.Conf.Acoust.,Speech,Signal Processing,Denver,Co,1980:307-310.
  • 8明文华,刘志学.一种新体制雷达-MIMO雷达[J].火控雷达技术,2008,37(1):10-13. 被引量:7
  • 9李征,刘南,陶欢.MIMO雷达对分布式目标测向研究[J].火控雷达技术,2008(3):18-21. 被引量:2
  • 10张珂.交互式电子白板在小学语文教学中的合理应用[J].教育信息技术,2013(7):56-58. 被引量:4

共引文献30

同被引文献33

  • 1Fishier E, Halmovich A, Blum R, et al. MIMO radar: an idea whose time has come[C]. Preceedings of the IEEE Radar Conference, Philadelphia, 2004: 71-78.
  • 2Fishler E, Halmovich A, Blum R, et al. Spatial diversity in radars-models and detection performance[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 823-838.
  • 3Bekkerman I and Tabrikian J. Target detection and localization using MIMO radars and sonars[J]. IEEE Transactions on Signal Processing, 2006, 54(10): 3873-3883.
  • 4Zhang X and Xu D. Angle estimation in MIMO radar using reduced-dimension Capon[J]. Electronics Letters, 2010, 46(12): 860-861.
  • 5Zhang X, Huang Y, Chen C, et al. Reduced-complexity Capon for direction of arrival estimation in a monostatic multip and multiple-output radar[J], lET Radar, Sonar & Navigation, 2012, 6(8): 796-801.
  • 6Wang Wei, Wang Xian-peng, and Li Xin. DOA estimation for monostatic MIMO radar based on unitary root-MUSIC[J]. International Journal of Electronics, 2013, 100(11): 1499-1509.
  • 7Duofang C, Baixiao C, and Guodong Q. Angle estimation using ESPRIT in MIMO radar[J]. Electronics Letters, 2008, 44(12): 770-771.
  • 8Wang Wei, Wang Xian-peng, Song Hong-ru, et al. Conjugate ESPRIT for DOA estimation in monostatic MIMO radar[J]. Signal Processing, 2013, 93(7): 2070-2075.
  • 9Rouquette S and Najim M. Estimation of frequencies and damping factors by two-dimensional ESPRIT type methods[J]. IEEE Transactions on Signal Processing, 2001, 49(1): 237-245.
  • 10谢荣,刘峥,刘韵佛.基于L型阵列MIMO雷达的多目标分辨和定位[J].系统工程与电子技术,2010,32(1):49-52. 被引量:12

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二级引证文献23

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