Location Adaptive Least Square Algorithm for Target Localization in Multi-Static Active Sonar

Eun Jeong JANG  Dong Seog HAN  

IEICE TRANSACTIONS on Communications   Vol.E97-B   No.1   pp.204-209
Publication Date: 2014/01/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.204
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Sensing
multi-static active sonar,  least square,  target localization,  

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In multi-static sonar systems, the least square (LS) and maximum likelihood (ML) are the typical estimation criteria for target location estimation. The LS localizaiton has the advantage of low computational complexity. On the other hand, the performance of LS can be degraded severely when the target lies on or around the straight line between the source and receiver. We examine mathematically the reason for the performance degradation of LS. Then, we propose a location adaptive — least square (LA-LS) localization that removes the weakness of the LS localizaiton. LA-LS decides the receivers that produce abnormally large measurement errors with a proposed probabilistic measure. LA-LS achieves improved performance of the LS localization by ignoring the information from the selected receivers.