Source localization in a waveguide using polynomial rooting

Joseph Tabrikian, Hagit Messer

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Source localization in acoustic waveguides involves a multidimensional search procedure. In this paper, we propose a new algorithm in which the search in the depth direction is replaced by polynomial rooting. Using the proposed algorithm, range and depth estimation by a vertical array requires a 1-D search procedure. For a 3-D localization problem (i.e., range, depth, and direction-of-arrival (DOA) estimation), the algorithm involves a 2-D search procedure. Consequently, the proposed algorithm requires significantly less computation than other methods that are based on a brute-force search procedure over the source location parameters. In order to evaluate the performance of the algorithm, an error analysis is carried out, and Monte-Carlo simulations are performed. The results are compared with the Cramér-Rao bound (CRB) and to the maximum likelihood (ML) simulation performance. The algorithm is shown to be efficient, while being computationally simpler than the ML or the Bartlett processors. The disadvantage of the algorithm is that its SNR threshold occurs in lower SNR than in the ML algorithm.

Original languageEnglish
Pages (from-to)1861-1871
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume44
Issue number8
DOIs
StatePublished - 1 Dec 1996
Externally publishedYes

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