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波束形成与独立分量分析融合的宽带高分辨方位估计方法 被引量:15

Broad-band high-resolution bearing estimation method combined with independent component analysis and beamforming
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摘要 针对波束域高分辨方位估计存在方位估计偏差大等缺点,提出了将波束形成与独立分量分析融合的宽带高分辨方位估计方法:(1)阵元域数据转换到波束域后,对多波束数据利用基于二阶统计量的独立分量分析算法处理,(2)将波束域独立分量分析融合方法输出结果重构回阵元域信号,(3)对重构后的阵元域数据,使用约束最优化方法改进的MUSIC算法做高分辨方位估计。最后利用ICS(Interactre Circuts & System)声呐模拟器数据和海试数据对算法进行了验证。结果表明:本文方法在弱目标检测、观测区域外强干扰抑制、方位分辨率方面都优先于波束域MUSIC和波束MVDR方法。 To aim at the problem of the beam-space high-resolution bearing estimation algorithm, such as sensitivity to the big bearing estimation bias error, and so on, a broad-band high-resolution bearing estimation method combined with independent component analysis algorithm and beamforming was presented. (1) The independent component analysis algorithm based on second order statistics was used to process the beam-space data; (2) In order to obtain high-resolution bearing estimation, the array-space data were reconstructed using the result from the beam-space independent component analysis fusion method; (3) MUSIC high-resolution algorithm modified by constrained optimized method was used to estimate the target bearing for reconstructed array-space data. It also uses the ICS (Interactre Circuts &: System) sonar simulator data and sea trial data to verify the proposed method. The results show the proposed method in the aspects of weak target detection, string interferance suppression and bearing resolution are better than the beam-space MUSIC method and the beam-space MVDR method.
出处 《声学学报》 EI CSCD 北大核心 2009年第4期303-310,共8页 Acta Acustica
关键词 波束域高分辨方位估计 独立分量分析 波束形成 估计方法 宽带 MUSIC算法 算法处理 二阶统计量 Algorithms Beamforming Bearings (structural) Constrained optimization Estimation Underwater acoustics Wavelet analysis
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参考文献21

  • 1Kim,'Byung-Chul, Lu I-Tai. High resolution broadband beamforming based on the MVDR method. In: Proc. of the IEEE Oceans Conference, 2000; 61(3): 1025-1028. 被引量:1
  • 2杨益新.声呐波束形成与波束域高分辨方位估计技术研究.西安:西北工业大学博士学位论文,2003. 被引量:1
  • 3Li F, Liu H. Statistical analysis of beam-space estimation for direction of arrivals. IEEE Trans. Signal Processing, 1994; 42(3): 604-610. 被引量:1
  • 4Kirsteins I P. Blind separation of signal and multipath Interference for synthetic aperture sonar. In: Proc. of the IEEE Oceans Conference, 2003; 13(7): 2641-2648. 被引量:1
  • 5S Li, Sejnowski T J. Adaptive separation of mixed broad- band sound sources with delays by a beamforming Herault-Jutten network. IEEE Journal of Oceanic Engineering, 1995; 20(4): 73-79. 被引量:1
  • 6Saruwatari H, Kawanura T, Nishikawa T, Lee A. Blind source separation based on a fast-convergence algorithm combining ICA and beamforming. IEEE Transactions on Audio, Speech and Language Processing, 2006; 14(1): 666-678. 被引量:1
  • 7Saruwatari H, Kawanura T, Sawai K. Blind source separation based on a fast-convergence algorithm using ICA and beamforming for real convolutive mixture. In: Proc. of Int. Conf. on Acoustics, Speech, Signal Processing, 2006; 6(1): 921-924. 被引量:1
  • 8Nilesh Madhu, Andre Guckel, Rainer Martin. Combined beamforming and frequency domain ICA for source separation. In: Proc. of the IWAENC 2006, Paris, 2006; 8(3): 12-14. 被引量:1
  • 9鄢社锋,马晓川.宽带波束形成器的设计与实现[J].声学学报,2008,33(4):316-326. 被引量:46
  • 10鄢社锋,马远良,侯朝焕.宽带波束域相干信号子空间高分辨方位估计[J].声学学报,2006,31(5):418-424. 被引量:23

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