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一种改进的声测定位时延估计算法
引用本文:孙韶杰,孙绍俊,李国辉,李红梅.一种改进的声测定位时延估计算法[J].计算机应用,2006,26(11):2696-2697.
作者姓名:孙韶杰  孙绍俊  李国辉  李红梅
作者单位:1. 国防科学技术大学,信息系统与管理学院,湖南,长沙,410073
2. 山东省图书馆,网络部,山东,济南,250100
摘    要:研究了时延估计算法在被动声测定位中的应用,提出了一种改进的基于最大似然(ML)权函数的广义互相关时延估计算法。改进的算法采用加窗法和最小均方差(LMS)滤波法,弥补了原算法计算量大及无法消除回响干扰的不足。仿真结果表明,改进的算法计算复杂度明显降低,能够有效地消除回响干扰,具有较高的时延估计精度和鲁棒性。

关 键 词:时延估计  广义互相关法  最大似然权函数  最小均方差滤波  声测定向
文章编号:1001-9081(2006)11-2696-02
收稿时间:2006-05-25
修稿时间:2006-05-252006-07-05

An improved time-delay estimation algorithm for acoustic detection and location
SUN Shao-jie,SUN Shao-jun,LI Guo-hui,LI Hong-mei.An improved time-delay estimation algorithm for acoustic detection and location[J].journal of Computer Applications,2006,26(11):2696-2697.
Authors:SUN Shao-jie  SUN Shao-jun  LI Guo-hui  LI Hong-mei
Affiliation:1. College of Information System and Management, National University of Defense Technology, Changsha Hunan 410073, China; 2. Department of Network, Library ofShandongProvince, Jinan Shandong 250100, China
Abstract:The application of time delay estimation in passive acoustic detection and location was studied. An improved maximum likelihood estimator as the generalized correlation method for time-delay estimation, which adopted the methods of windowing and least mean square (LMS) filter, was proposed. The simulation results show that the proposed algorithm can reduce the complexity of computation obviously, eliminate the influence of reecho efficiently, and has better estimation accuracy and robustness.
Keywords:time delay estimation  generalized correlation method  maximum likelihood(ML)  acoustic detection and location  least mean square filter(LMS)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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