期刊文献+

独立源与相干源并存的信源数估计 预览 被引量:5

Source number estimation of coexisting uncorrelated and coherent sources
在线阅读 下载PDF
收藏 分享 导出
摘要 大多数子空间类谱估计算法,需要预先估计信源个数,而且当信号源相干或强相关时,不能直接应用基于信息论的估计方法。针对接收信号为独立源与相干源并存的情况,提出一种新的基于矩阵重构的信源数估计算法。算法利用各个阵元接收数据与参考阵元接收数据的互相关信息,构造一个Toeplitz等效协方差矩阵解相干。理论分析证明,相比于复信号解相干的常规Toeplitz矩阵重构方法,算法节省一半的阵列孔径,而且对噪声发散性有一定抑制作用。基于此构造矩阵采用特征子空间投影与特征值加权的方法构造判决函数来估计信源个数,仿真结果表明,算法在独立源和相干源并存的情况下,能准确估计出信源个数,性能优于空间平滑Akaike信息论准则法和空间平滑最小描述长度法。 Detecting the source number is an important step to eigensubspace spatial spectrum estimation algorithms. Information theory methods are not applicable to cope with the situation where both uncorrelated and coherent sources exist. A novel method based on matrix reconstruction is proposed to solve this problem. A Toeplitz equivalent covariance matrix is reconstructed by using cross-correlation information of the receiv ing data from arrays. To some extent, the constructed matrix can reduce the spreading of the noise eigenval ues. Compared with the conventional method using the first vector of the covariance matrix to construct a de coherence Toeplitz matrix, the proposed algorithm has better de-coherence performance and avoids the loss of array physical aperture. Ultimately, the proposed algorithm utilizes weighted eigen subspace projection meth- od to estimate the source number. Computer simulation confirms that the algorithm can accurately estimate the number of sources mixed with uncorrelated and coherent sources and has better performance compared with spatial smoothing Akaike information criterion and spatial smoothing minimum description length algo rithms.
作者 毛维平 李国林 谢鑫 王凌 MAO Wei-ping , LI Guo-lin , XIE Xin , WANG Ling (1. Graduate Students ' Brigade, Naval Aeronautics and Astronautics University, Yantai 264001 , China 2. Department 7, Naval Aeronautics and Astronautics University, Yantai 264001 , China)
出处 《系统工程与电子技术》 EI CSCD 北大核心 2014年第3期422-428,共7页 Systems Engineering and Electronics
基金 国家自然科学基金(60902054)资助课题
关键词 阵列天线 信源数估计 独立信源与相干信源 矩阵重构 特征子空间投影 antenna arrays source number estimation uncorrelated and coherent sources matrix recon-struction eigen subspace projection
作者简介 毛维平(1986-),男,博士研究生,主要研究方向为阵列信号处理、目标中近程探测识别。Email:mvpyqz@126.com 李国林(1955-),男,教授,博士,主要研究方向为目标中近程探测识别与信息处理。E-mail:glinlee@263.net 谢鑫(1980-),男,副教授,博士,主要研究方向为阵列信号处理、无线电引信探测。E-mail:xxinl980@163.com 王凌(1985-),男,博士研究生,主要研究方向为无线电引信探测、阵列信号处理。E-mail:wang_lingl@yeah.net
  • 相关文献

参考文献30

  • 1Akaike H. A new look at the statistical model identification^].IEEE Trans, on Automatic Control, 1974,19(6) : 716 - 723. 被引量:1
  • 2Wu H T,Yang J F, Chen F K. Source number estimation usingtransformed Gerschgorin radii[J]. IEEE Trans, on Signal Pro-cessing ,1995,43(6):1325 - 1333. 被引量:1
  • 3Chen W,Reilly J P. Detection of the number of signals in noisewith banded covariance matrices [J]. IEEE Trans, on SignalProcessing , 1994,42(5) :377 - 380. 被引量:1
  • 4Brcich R F,Zoubir A M, Pelin P. Detection of sources usingBootstrap techniques[J]. IEEE Trans, on Signal Processing ,2002,50(2):206 - 215. 被引量:1
  • 5Zhao L C,Krishnaiah P R,Bai Z D. On detection of numbers ofsignals in presence of white noise[J]. Journal of MultivariateAnalysis. 1986,20:1-4. 被引量:1
  • 6Shan T J, Paulray A, Kailath T. On smoothed rand profile testsin eigen structure methods for arrival estimation [J]. IEEETrans, on Acoustics , Speech and Signal Processing . 1987,35(10):1377 -1385. 被引量:1
  • 7Cozzens J H,Sousa M J. Source enumeration in a correlatesigned environments [J]. IEEE Trans, on Signal Processing,1994,42(2):304 -317. 被引量:1
  • 8刘志刚,汪晋宽,王福利.虚拟空间平滑算法[J].电子学报,2007,35(9):1762-1765. 被引量:15
  • 9Xu Y G,Liu Z W. Modified virtual spatial smoothing algorithm[J].Acta Electronica Sinica,2009,37.12) : 2646 - 2650. 被引量:1
  • 10Di A. Multiple sources location-a matrix decomposition ap-proach[J]. IEEE Trans, on Acoustics,Speech and SignalProcessing , 1987,35(4) : 1086 - 1091. 被引量:1

二级参考文献121

共引文献112

同被引文献38

引证文献5

二级引证文献11

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈