Abstract
This paper presents a robust Maximum-Likelihood estimator for matched-field source localization in the presence of uncertainties in the ocean environment. The method is based on a decomposition of the field into predictable and unpredictable subspaces of the acoustic normal mode representation. The performance of the method is evaluated and compared to other matched-field methods using simulations and acoustic array data from the Mediterranean Sea. The algorithm has superior probability of correct localization than the Maximum-Likelihood, Matched-Mode-Processing, and Bartlett methods.
Original language | English |
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Pages (from-to) | 3089-3091 |
Number of pages | 3 |
Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
Volume | 6 |
State | Published - 1 Jan 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: 7 May 1996 → 10 May 1996 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering