A decoupled algorithm for geolocation of multiple emitters

Alon Amar*, Anthony J. Weiss

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

The problem of determining the positions of multiple emitters by widely separated arrays is considered. We propose an iterative algorithm for estimating the positions based on the maximum likelihood (ML) criterion. The position of each emitter is decoupled from the other emitters, and in each iteration is determined by a two dimensional grid search. This approach substantially reduces the computation load of a straightforward implementation of the ML estimator, which requires a multidimensional search. Numerical examples are provided to illustrate the performance. We demonstrate that only a few iterations are required to achieve convergence. The results are compared with the Cramér-Rao lower bound.

Original languageEnglish
Pages (from-to)2348-2359
Number of pages12
JournalSignal Processing
Volume87
Issue number10
DOIs
StatePublished - Oct 2007

Funding

FundersFunder number
Institute for Future Technologies Research Named
Israel Science Foundation1232/04

    Keywords

    • Array-processing
    • Emitter-localization
    • Maximum-likelihood estimation

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