空间稀疏信号模型下的自动对角加载方法性能研究
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- 英文论文题名：Evaluation of automatic diagonal loading methods with a spatially sparse signal model
- 论文作者：柯雨璇 ; 郑成诗 ; 彭任华 ; 李晓东
- 英文论文作者：KE Yu-xuan ; ZHENG Cheng-shi ; PENG Ren-hua ; LI Xiao-dong ; Key Laboratory of Noise and Vibration Research ; Institute of Acoustics ; Chinese Academy of Sciences
- 年：2016
- 作者机构：中国科学院噪声与振动重点实验室(声学研究所);
- 论文关键词：波束形成 ; 鲁棒性 ; 自动对角加载
- 英文论文关键词：SCB ; robust ; automatic diagonal loading
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：TN911.7
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：4
- 文件大小：379k
- 原文格式：D
- 会议级别：全国
摘要
标准Capon波束形成器(Standard Capon Beamformer,SCB)对协方差矩阵估计误差和导向向量误差较敏感,鲁棒性较差,因此稳健自适应波束形成器一直是研究的热点。而研究最广泛的方法是对角加载类方法,本文重点研究了空间稀疏信号模型下的两种经典自动对角加载方法,该研究首次揭示这两种方法存在的问题,即在快拍数较大或阵元数较大时性能会明显下降,且当导向向量存在误差时,两种方法的鲁棒性较差。因此需要研究新型自动对角加载方法解决传统自动对角加载方法的问题。
The standard Capon beamformer(SCB) is very sensitive to the imprecise knowledge of the covariance matrix and that of the steering vector, so it is always a hot topic to improve the robustness of the SCB. One of the most widely used robust capon beamformer approaches is diagonal loading(DL), this paper first studied the performance of two traditional automatic DL methods with a spatially sparse signal model. According to this study, we reveal that the two traditional automatic DL methods obviously degrade their performances when the number of snapshots and/or the number of sensors increase. In addition, the steering angle error also has a significant impact on the two methods. Therefore, a new-style automatic diagonal loading method that can solve the problems mentioned above is needed.
The standard Capon beamformer(SCB) is very sensitive to the imprecise knowledge of the covariance matrix and that of the steering vector, so it is always a hot topic to improve the robustness of the SCB. One of the most widely used robust capon beamformer approaches is diagonal loading(DL), this paper first studied the performance of two traditional automatic DL methods with a spatially sparse signal model. According to this study, we reveal that the two traditional automatic DL methods obviously degrade their performances when the number of snapshots and/or the number of sensors increase. In addition, the steering angle error also has a significant impact on the two methods. Therefore, a new-style automatic diagonal loading method that can solve the problems mentioned above is needed.
引文
[1]Capon J.High-resolution frequency-wavenumber spectrum analysis[J].Proceedings of the IEEE,1969,57(8):1408-1418.
[2]Carlson B D.Covariance matrix estimation errors and diagonal loading in adaptive arrays[J].Aerospace and Electronic Systems,IEEE Transactions on,1988,24(4):397-401.
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[4]Li J,Stoica P,Wang Z.On robust Capon beamforming and diagonal loading[J].Signal Processing,IEEE Transactions on,2003,51(7):1702-1715.
[5]Vorobyov S A,Gershman A B,Luo Z Q.Robust adaptive beamforming using worst-case performance optimization:A solution to the signal mismatch problem[J].Signal Processing,IEEE Transactions on,2003,51(2):313-324.
[6]Feldman D D.An analysis of the projection method for robust adaptive beamforming[J].Antennas and Propagation,IEEE Transactions on,1996,44(7):1023-1030.
[7]Hoerl A E,Kannard R W,Baldwin K F.Ridge regression:some simulations[J].Communications in Statistics-Theory and Methods,1975,4(2):105-123.
[8]Du L,Li J,Stoica P.Fully automatic computation of diagonal loading levels for robust adaptive beamforming[J].Aerospace and Electronic Systems,IEEE Transactions on,2010,46(1):449-458.
[9]Smith S T.Covariance,subspace,and intrinsic cramer-rao bounds[J].IEEE Transactions on Signal Processing,2005,53(5):1610-1630.
[2]Carlson B D.Covariance matrix estimation errors and diagonal loading in adaptive arrays[J].Aerospace and Electronic Systems,IEEE Transactions on,1988,24(4):397-401.
[3]Cox H,Zeskind R M,Owen M M.Robust adaptive beamforming[J].Acoustics,Speech and Signal Processing,IEEE Transactions on,1987,35(10):1365-1376.
[4]Li J,Stoica P,Wang Z.On robust Capon beamforming and diagonal loading[J].Signal Processing,IEEE Transactions on,2003,51(7):1702-1715.
[5]Vorobyov S A,Gershman A B,Luo Z Q.Robust adaptive beamforming using worst-case performance optimization:A solution to the signal mismatch problem[J].Signal Processing,IEEE Transactions on,2003,51(2):313-324.
[6]Feldman D D.An analysis of the projection method for robust adaptive beamforming[J].Antennas and Propagation,IEEE Transactions on,1996,44(7):1023-1030.
[7]Hoerl A E,Kannard R W,Baldwin K F.Ridge regression:some simulations[J].Communications in Statistics-Theory and Methods,1975,4(2):105-123.
[8]Du L,Li J,Stoica P.Fully automatic computation of diagonal loading levels for robust adaptive beamforming[J].Aerospace and Electronic Systems,IEEE Transactions on,2010,46(1):449-458.
[9]Smith S T.Covariance,subspace,and intrinsic cramer-rao bounds[J].IEEE Transactions on Signal Processing,2005,53(5):1610-1630.