Maximum-likelihood parameter based on EM algorithm for passive source localization estimation

被引：0

作者：

Ji, C ^{[1
]}

Li, P ^{[1
]}

Liu, SX ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Mechatron Engn, Beijing 100081, Peoples R China

来源：

ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Source localization using passive sensor arrays has been an active research problem for many years. In this work, the Expectation-Maximization (EM) algorithm is investigated. EM algorithm is. a well known recursive method for locating modes of a likelihood function which is characterized by simple implementation and stability. The algorithm is developed for the case of stationary Gauss signals. The application of the algorithm to the multiple source localization estimation problems is considered.

引用

页码：4981 / 4984

页数：4

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