首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于特征值修正的盖尔圆变换信息论判源方法
引用本文:马娟,张群飞,黄建国.一种基于特征值修正的盖尔圆变换信息论判源方法[J].应用声学,2009,28(1):32-36.
作者姓名:马娟  张群飞  黄建国
作者单位:西北工业大学航海学院,西安,710072
摘    要:本文在盖尔圆-信息论(GAIC)方法的基础上,提出了一种基于盖尔圆半径修正的目标数目判断方法。将特征值和盖尔圆半径结合作为修正的特征值,并将修正后的特征值应用于GAIC方法。这种盖尔圆半径修正的GAIC(MGAIC)方法检测性能稳定,克服了AIC在高信噪比下不是目标数目的一致估计的缺点且在低信噪比时检测性能优于GAIC,尤其在目标角度间隔较小或多目标强度不等时MGAIC表现出明显的优势,适合于多目标对抗的复杂环境。仿真实验和实际数据处理结果验证了所提算法的有效性。

关 键 词:目标数目  信息论方法  盖尔圆定理  特征值修正

A modified information theoretic criterion for source number detection based on Gerschgorin disk theorem
MaJuan,Zhang Qun-Fei and Huang Jian-guo.A modified information theoretic criterion for source number detection based on Gerschgorin disk theorem[J].Applied Acoustics,2009,28(1):32-36.
Authors:MaJuan  Zhang Qun-Fei and Huang Jian-guo
Institution:(Coll.of Marine Engineering,Northwestern Polytechnical Univ.,Xi’an 710072)
Abstract:A modified Gerschgorin Akaike information criterion(MGAIC) method for source number detection is proposed based on Gerschgorin disk theorem.The method combines the eigenvalues with the Gerschgorin radii to get the modified eigenvalues which are then applied to the Gerschgorin AIC(GAIC).MGAIC overcomes the drawback of AIC which gives inconsistent estimate of the source number under high SNR,and yields a robust estimate of the source number.MGAIC also has a better performance than GAIC under low SNR,especially when the sources are closely spaced or unequal intensities.MGAIC is fit for the complex environment of multi-target counterworks.Simulation and experimental results show the validity of our MGAIC method.
Keywords:Number of sources  Information theoretic criterion  Gerschgorin disk theorem  Eigenvalue modification
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《应用声学》浏览原始摘要信息
点击此处可从《应用声学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号