Maximum-likelihood Parameter Based on EM Algorithm for Passive Source Localization Estimation

Cheng Ji*, Ping Li, Shixing Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Symposium on Test and Measurement
Pages4981-4984
Number of pages4
Publication statusPublished - 2003

Publication series

NameProceedings of the International Symposium on Test and Measurement
Volume6

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