高斯色噪声下的子阵平滑主模式抑制波束形成
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摘要
实际海洋波导是一种具有空-时相关性的衰落信道,且其驻留的海洋环境背景噪声场呈现非均匀各向异性的特性,噪声场时空相关性并非δ函数,大孔径声呐的探测性能会受到很大影响。将背景噪声建模为有色高斯随机过程,设计基于子阵平滑的主模式抑制(Dominant Mode Rejection, DMR)波束形成算法,以实现小快拍数条件下具有去相关作用的自适应处理,较好地提高了大孔径阵声呐在高斯色噪声环境下的探测能力。模拟仿真结果表明,该方法具有良好的抑制高斯色噪声的能力。
The actual ocean waveguide is a fading channel with space-time correlation, where the background noise field is characterized by non-uniform anisotropy and the space-time correlation of noise field is not a-function, all these factors greatly affect the detection performance of large aperture sonar. In this paper, the background noise is modeled as a colored Gaussian stochastic process, and the algorithm of dominant mode rejection(DMR) beamforming based on sub-array smoothing is designed to realize the adaptive processing with the function of de-correlation under the condition of small snapshot number and to improve the detection ability of large aperture sonar in colored Gaussian noise background. The simulation results show that the method has good ability to suppress colored Gaussian noise.
The actual ocean waveguide is a fading channel with space-time correlation, where the background noise field is characterized by non-uniform anisotropy and the space-time correlation of noise field is not a-function, all these factors greatly affect the detection performance of large aperture sonar. In this paper, the background noise is modeled as a colored Gaussian stochastic process, and the algorithm of dominant mode rejection(DMR) beamforming based on sub-array smoothing is designed to realize the adaptive processing with the function of de-correlation under the condition of small snapshot number and to improve the detection ability of large aperture sonar in colored Gaussian noise background. The simulation results show that the method has good ability to suppress colored Gaussian noise.
引文
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[2]NADAKUDITI R R,EDELMAN A.Sample eigenvalue based detection of high-dimensional signals in white noise using relatively few samples[J].IEEE Transactions on Signal Processing,2008,56(7):2625-2638.
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[4]WAGE K E,BUCK J R.Snapshot performance of the dominant mode rejection beamformer[J].IEEE Journal of Oceanic Engineering,2004,39(2):212-225.
[5]BUCK J R,WAGE K E.A random matrix theory model for the dominant mode rejection beamformer notch depth[J].IEEEStatistical Signal Processing Workshop,2012,820-823.
[6]WAGE K E,BUCK J R.Performance analysis of dominant mode rejection beamforming[C]//Proceedings of 20th International Congress on Acoustics,ICA 2010:1-6
[7]牛潇,王忠庆.带有噪声相关性的自适应噪声抵消系统仿真研究[J].电子测试,2010(7):15-18.NIU Xiao,WANG Zhongqing.Emulational research of adaptive noise canceller analysiswith noise correlation[J].Electronic Test,2010(7):15:18
[8]夏光荣,刘兴钊.相关性噪声对MUSIC算法参数估计性能影响的分析[J].电子测量与仪器学报,2005,19(4):6-11.XIA Guangrong LIU Xingzhao.Analysis of the performance of music algorithm in correlated noise[J].Journal of Electronic Measuremant ans Instrument,2005,19(4):6-11.
[9]王珽,张剑云.色高斯噪声背景下相干信源DOA估计[J].航天电子对抗,2012,28(4):32-35.WANG Ting,ZHANG Jianyun.DOA estimation of coherent signals in color Gaussian noise[J].Aerospace Electronic Warfare,2012,28(4):32-35.
[10]张纯,杨俊安,叶丰.高斯色噪声背景下的单通道信源数目估计算法[J].信号处理,2012,28(7):994-999.ZHANG Chun,YANG Jun’an,YE Feng.Single channel source number estimation algorithm under colored Gaussian noise[J].Signal Processing,2012,28(7):994-999.
[11]武思军,张锦中.基于协方差矩阵的空间平滑解相干算法[J].应用科技,2005,32(5):7-9.WU Sijun,ZHANG Jinzhong.An improved spatial smoothing technique based on covariance matrix[J].Applied Science and Technology,2005,32(5):7-9.
[12]蔡晶晶,宗汝,蔡辉.基于空域平滑稀疏重构的DOA估计算法[J].电子与信息学报,2016,38(1):168-173.CAI Jingjing,ZONG Ru,CAI Hui.DOA estimation via sparse representation of the smoothed array covariance matrix[J].Journal of Electronics&Information Technology,2016,38(1):168-173.
[13]张林让,廖桂生.利用空间平滑提高小快拍数时的自适应波束形成性能[J].西安电子科技大学学报,1997,24(S1):133-139.ZHANG Linrang,LIAO Guisheng,BAO Zheng.Improvement of the performance of adaptive beamforming with a small number of snapshots via spatial smoothing[J].Journal of Xidian University,1997,24(S1):133-139.
[14]SHAN T J,WAX M,KAILATH T.On spatial smoothing for direction-of-arrival estimation of coherent signals[J].IEEETransactions on Acoustics Speech&Signal Processing,1985,33(4):806-811.
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