Deterministic maximum likelihood method for the localization of near-field sources:Algorithm and performance analysis

Erdinc Celcli*, Hakan A. Cirpan

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In this paper, a deterministic maximum likelihood localization algorithm is adapted to estimate the direction of arrival and range parameters of the near field sources. Since the direct maximum likelihood estimation of near-field source parameters results in complicated multi-parameter optimization problems, we reformulated the estimation problem in terms of actual-data. sample, called the incomplete data and a hypothetical data set, called the complete data and then devised the Expectation/Maximization iterative method for obtaining maximum likelihood estimates. The performance analysis of the proposed algorithm is then carried out through the evaluation of Cramer-Rao bounds. Finally, some simulation results are presented.

Original languageEnglish
Title of host publicationICECS 2001 - 8th IEEE International Conference on Electronics, Circuits and Systems
Pages1077-1080
Number of pages4
Publication statusPublished - 2001
Externally publishedYes
Event8th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2001 - , Malta
Duration: 2 Sept 20015 Sept 2001

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume2

Conference

Conference8th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2001
Country/TerritoryMalta
Period2/09/015/09/01

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