[1]刁鸣,袁熹,高洪元,等.一种运动目标的相干信号源DOA跟踪方法[J].应用科技,2008,35(11):26-30.
 DIAO Ming,YUAN Xi,GAO Hong-yuan,et al.An approach of estimating DOA for coherent signals from moving sources[J].Applied science and technology,2008,35(11):26-30.
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一种运动目标的相干信号源DOA跟踪方法
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第35卷
期数:
2008年11期
页码:
26-30
栏目:
现代电子技术
出版日期:
2008-11-05

文章信息/Info

Title:
An approach of estimating DOA for coherent signals from moving sources
文章编号:
1009-671X(2008)11-0026-05
作者:
刁鸣袁熹高洪元陈娟
哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001
Author(s):
DIAO MingYUAN XiGAO Hong-yuanCHEN Juan
College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
关键词:
动态目标DOA估计最大似然函数粒子群算法
Keywords:
moving sourceDOA estimateML estimationparticle swarm algorithm
分类号:
TM911
文献标志码:
A
摘要:
针对相干信号源方向时变的情况,分析了样本协方差矩阵的更新,在此基础上提出了一种基于粒子群算法的跟踪方法 . 该方法直接利用性能优越的最大似然估计器,避免了子空间跟踪类方法需要运用空间平滑等解相干技术对数据协方差矩阵进行的预处理和数据协方差矩阵不断分解的过程,同时通过锁定目标、大幅度缩小搜索的范围和运用群智能搜索有效降低算法的计算量 . 仿真结果表明,与子空间类算法相比,该方法具备解相干的能力和较好的跟踪精度,并且能够保证算法的实时性 .
Abstract:
As the direction of coherent signal source varies with time, we proposed a tracking method based on particle swarm algorithm after an analysis of renewal of sample’s covariance matrix. With the direct application of maximum likelihood algorithm, it can avoid the pretreatment of the covariance matrix with the spatial smoothing method, and the decompositions of the covariance matrix which otherwise should be repeated in the methods based on subspace tracking. Furthermore, it can substantially reduce the computational effort of maximum likelihood algorithm by locking the targets, shrinking the search region and using group intelligent searching. Simulation results show that, compared with the methods based on subspace tracking, the proposed method has excellent ability to track coherent sources, with high precision performance and real time property.

参考文献/References:

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备注/Memo

备注/Memo:
刁鸣(1960-),男,教授,博士生导师,主要研究方向:宽带信事情检测处理与识别.E-mail:diaoming@hrbeu.edu.cn.
更新日期/Last Update: 2008-12-15