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运动双基地MIMO雷达参数估计的克拉美罗界 被引量：5

Cramer-Rao Bounds for Estimating Parameter in the Moving Bistatic MIMO Radar
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摘要 在杂波环境下,该文研究了目标、发射站及接收站均运动时双基地多输入多输出(MIMO)雷达参数估计的克拉美罗界(CRB)。首先建立了运动双基地MIMO雷达的数学模型,推导了杂波背景下多目标参数估计CRB的一般表示式,然后给出了无杂波时单目标波离方向(DOD)、波达方向(DOA)以及速度CRB的闭式解,并分析了各参数对CRB性能的影响。理论与仿真实验表明:无杂波时的参数估计性能优于杂波背景下的参数估计性能;目标DOD(DOA)的估计性能与收发站速度、目标速度无关,而目标速度的估计性能将随着收、发站和目标速度的增大而下降。 The present study aims to investigate the Cramer-Rao Bound （CRB） for estimating the direction and velocity of the moving target using the moving bistatic MIMO radar system in the clutter environment. Firstly, the bistatic MIMO radar signal model with the moving transmit and receive arrays is constructed. And the general CRB expression is derived for the direction and velocity of the moving multi-target contaminated by the clutter echoes. Then this study gets the closed-form CRB expressions for the Direction Of Departure （DOD）, Direction Of Arrival （DOA） and velocity of a moving target in the clutter-free environment. The impact of some parameters on the CRB is analyzed depending on the closed-form expression. Theoretical analyses and computer simulations show that the estimation performance of the direction and velocity in a clutter-free environment is better than those of the clutter environment. The velocities of the arrays and target have no impact on the estimation performance of the target DOD （DOA）, but strongly affect the estimation accuracy of the target velocity. The estimation performance of target velocity can lead to degradation as the velocity of arrays and target increase.
作者 郑志东 袁红刚 张剑云 庞家飞
机构地区 北方电子设备研究所 合肥电子工程学院 [
出处 《电子与信息学报》 EI CSCD 北大核心 2014年第11期2678-2683,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60702015)资助课题
关键词 运动双基地多输入多输出雷达 估计性能 克拉美罗界 Moving bistatic MIMO radar Estimation parameter Cramer-Rao Bound （CRB）
分类号 TN958 [电子电信—信号与信息处理]
  • 相关文献

参考文献11

  • 1Fisher E, Haimovich A, Blum R S, et al.. Spatial diversity in radar-models and detection performance[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 823-838.
  • 2Haimovich A M, Blum R S, Lenard J, et al.. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116-129.
  • 3朱莹,张弓,张劲东.基于DCS的统计MIMO雷达信号模型及参数估计[J].雷达学报（中英文）,2012,1(2):143-148. 被引量：8
  • 4Chen Hao-wen, Zhou Wei, Li Xiang, et al.. Cramer-rao bounds for estimating velocity and direction with a bistatic MIMO radar[C]. Proceedings of ICSP 2010, Beijing, China, 2010: 2142-2146.
  • 5Jin M, Liao G S, and Li J. Joint DOD and DOA estimation for bistatic MIMO radar[J]. Signal Processing, 2009, 89(2): 244-251.
  • 6郑志东,周青松,张剑云,杨波.运动双基地MIMO雷达的参数估计性能[J].电子与信息学报,2013,35(8):1847-1853. 被引量：1
  • 7Bekkerman I and Tabrikian J. Target detection and localization using MIMO radar and sonars[J]. IEEE Transactions on Signal Processing, 2006, 54(10): 3873-3883.
  • 8Remy boyer. Performance bounds and angular resolution limit for the moving collocated MIMO radar[J]. IEEE Transactions on Signal Processing, 2011, 59(4): 1539-1552.
  • 9Stoica P and Moses R. L Spectral Analysis of Signals[M]. Englewood Cliffs, NJ: Prentica-Hall, 2005: 373-387.
  • 10Stoica P and Nehorai A. MUSIC, maximum likelihood, and Cramer-rao bound[J]. IEEE Transactions on Signal Processing, 1989, 37(5): 720-741.

二级参考文献13

  • 1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
  • 2Rabideau D. J,,Parker P.Ubiquitous MIMO multifunction digital array radar[].Proceedings of Thirty-Seventh Asilomar Conference on Signals Systems and Computers.2003
  • 3Baron D,Wakin M B,Duarte M F,Sarvotham S,Baraniuk R G.Distributed Compressed Sensing[].IEEE Asilomar conference on signalsSystems and Computers.2005
  • 4Wang W,Garofalakis M,Ramchandran K."Distributed sparse random projections for refinable approximation,"[].Proc of the th International Conference on Information Processing in Sensor Networks.2007
  • 5W.Lewandowski,C.Thomas.GPS Time Transfer[].Proceedings of Tricomm.1991
  • 6Hurley, S.M,Tummala, M,Walker, T.O,Pace, P.E.Impact of synchronization on signal-to-noise ratio in a distributed radar system[].System of Systems Engineering IEEE/SMC International Conference on.2006
  • 7Roehr S,Vossiek M,Gulden P.Method for High Precision Radar Distance Measurement and Synchronization of Wireless Units[].Microwave Symposium IEEE/MTT-S International.2007
  • 8Tropp J,Gilbert A. C,Strauss M. J."Simultaneous sparse approximation via greedy pursuit,"[].Proc of the IEEE Int Conf Acoustics Speech Signal Processing (ICASSP).2005
  • 9Yu Y,Petromulu A P,Poor H V.Compressed sensing for MIMO radar[].Proceeding of the Forty-Third Asilomar Conference on SignalsSystems and Computers.2009
  • 10Baron D,Wakin M B,Duarte M,et al.Distributed compressed sensing[OL]. http://www.dsp.rice.edu/-rorb/pdf/DCS112005.pdf .

共引文献7

同被引文献38

  • 1HAARDT M, PESAVENTO M, ROEMER F, et al. Subspace Methods and Exploitation of Special Array Structures, Electronic Reference in Signal Processing: Array and Statistical Signal Processing[M]. Vol. 3, Academic Press Library in Signal Processing. PL: Elsevier Ltd., 2014: 651-717. doi: 10.1016/B978-0-12-411597-2.00015-1.
  • 2ZHANG X, EL KORSO M N, and PESAVENTO M. On the asymptotic resolvability of far-field stochastic sources[C]. Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, 2012: 889-893.
  • 3GROSICKI E, ABED MERAIM K, and HUA Y. A weighted linear prediction method for near-field source localization[J]. IEEE Transactions on Signal Processing, 2005, 53(10): 3651-3660. doi: 10.1109/TSP.2005.855100.
  • 4DELMAS J P and GAZZAH H. CRB analysis of near-field source localization using uniform circular arrays[C].Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, 2013: 3396-3400. doi: 10.1109/ICASSP.2013. 6638409.
  • 5BEGRICHE Y, THAMERI M, and ABEDMERAIM K. Exact Cram~r Ra~ bound for near field source localization[C] Proceedings of the llth IEEE International Conference on Information Science, Signal Processing and their Applications (ISSPA), Montreal, 2012: 718-721. doi: 10.1109/ISSPA.2012.6310646.
  • 6EL KORSO M N, BOYER R, RENAUX A, et al. Nonmatrix closed-form expressions of the Cram~r-Rao bounds for near-field localization parameters[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Talpei, 2009: 3277-3280. doi: 10.1109/ICASSP. 2009.4960324.
  • 7KAY S M. Fundamentals of Statistical Signal Processing: Estimation Theory[M]. N J, Prentice Hall, 1993, Vol. 1: 147-169.
  • 8GUANG H and Abeysekera S S. Receiver design for range and Doppler sidelobe suppression using MIMO and phased-array radar[J]. IEEE Transactions on Signal Processing, 2013, 61(6): 1315-1326. doi: 10.1109/TSP.2012. 2234743.
  • 9FISHER E, HAIMOVICH A, BLUM R S, et al. MIMO radar: an idea whose time has come[C]. Proceedings of IEEE, Radar Conference, PA, USA, 2004: 71-78.
  • 10FU X, CHEN X Z, HOU Q W, et al. Orthogonal waveform design based on the modified chaos genetic algorithm for MIMO radar[C]. Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, Beijing, 2013: 70-77.

引证文献5

二级引证文献11

电子与信息学报
2014年 第11期

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