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基于矩阵平滑改进的稳健Capon波束形成的功率估计 被引量：1

Power estimation based on robust Capon beamforming improved by matrix smoothing
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摘要 回顾了对角加载波束形成的研究历程,提出了一种改进稳健Capon波束形成(RCB)算法。该方法在计算过程中,加入了矩阵平滑及将加权向量向信干子空间投影的步骤,提高了对相干信号的分辨能力以及低信噪比条件下信号功率的估计能力。仿真结果表明该方法能够分辨相干信号,功率估计较为准确,并且在输入信噪比为-10dB的时候,降低旁瓣15dB～20dB;当信源估计个数大于实际个数的时候依然有效。 Recent researches on diagonal loading beamforming are reviewed, and an improved Robust Capon beamformer is proposed. The algorithm can not only estimate the power and Direction-of-Arrival （DOA） of the incoherent signals but estimate those of the coherent signals as well, and also performs better under low SNR than the standard RCB. The basic idea of the improved RCB is to involve additional steps of the matrix smoothing and projecting the weights into signal-plus-interference subspace in the calculation. Simulations suggest a strong ability of the beamformer in separating coherent signals, power estimation and a 15dB-20dB sidelobe-depression as the input SNR at -10dB. Furthermore, the method is still effective when the estimated number of the signal sources is larger.
作者 李璇 马晓川 侯朝焕
机构地区 中国科学院声学研究所数字系统集成部
出处 《声学技术》 CSCD 北大核心 2008年第4期501-506,共6页 Technical Acoustics
基金 国防科工委基础科研项目(A1320070067) 中国科学院院长奖获得者科研启动专项资金(O729031511)
关键词 稳健CAPON波束形成 波达方向 矩阵平滑 相干信号 robust Capon beamforming （RCB） direction of arrival（DOA） matrix smoothing coherent signals
分类号 TN911 [电子电信—通信与信息系统]
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参考文献13

  • 1Capon J. High resolution frequency-wavenumber spectrum analysis[J]. Proc. IEEE, 1969, 57(8): 1408-1418.
  • 2Carlson B D. Covariance matrix estimation errors and diagonal loading in adaptive arrays[J]. IEEE Trans. On Aerospace and Electronic Systems, 1988, 24(4): 397-401.
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  • 6Xavier Mestre, Miguel A. LagunasJian.Finite sample size effect on minimum variance beamformers: Optimum diagonal loading factor for large arrays[J]. IEEE Trans on Signal Processing, 2006, 54(1): 69-82.
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二级参考文献17

  • 1Capon J. High resolution frequency-wavenumber spectrum analysis[J]. Proc. IEEE (S0018-9219), 1969, 57(8): 1408- 1418.
  • 2Barry D Van Veen, Kevin M Buckley. Beamforming: A versatile approach to spatial filtering[J]. IEEE ASSP Magazine (S0740-7467), 1988, 5(4): 4-24.
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  • 4Carlson B D. Covariance matrix estimation errors and d- iagonal loading in adaptive arrays[J]. IEEE Trans. Aerosp. Electron. Syst. (S0018-9251), 1988, 24(4): 397-401.
  • 5Ma N., Goh J T. Efficient method to determine diagonal loading value[A]. ICASSP2003[C]. HongKong, 5: 341-344.
  • 6Kim Y L, PiUai S U, Guerci J R. Optimal loading factor for minimal sample support space-time adaptive radar[A].ICASSP 1998[C]. Seattle, WA, 4: 2505-2508.
  • 7LI J, Stoica P, WANG Z. Doubly constrained robust capon beamformer[J]. IEEE Trans on Signal Processing (S-1053-587X), 2004, 52(9): 2407-2423.
  • 8Xavier Mestre, Miguel A. LagunasJian,Finite sample size effect on minimum variance beamformers: Optimum diagonal loading factor for large arrays[J]. IEEE Trans on Signal Processing (S1053-587X), 2006, 54(1): 69-82.
  • 9JIANG Biao, ZHU Ye, SUN Changyu. Robust beamforming with array shape distortion dependent diagonal loading[A]. 10th Asia-Pacific Conference a Communications and 5th International Symposium on Multi-Dimensional Mobile C- ommunications[C]. Beijing, China, 1: 305-308.
  • 10Nadakuditi R R, Edelman Alan. The bias of the MVDR beamformer outputs under diagonal loading[A]. ICASSP 2005[C]. PA, USA, 4: 793-796.

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声学技术
2008年 第4期

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