DocumentCode :
61440
Title :
A Multitask Learning Framework for Broadband Source-Location Mapping Using Passive Sonar
Author :
Forero, Pedro A. ; Baxley, Paul A. ; Straatemeier, Logan
Author_Institution :
Space & Naval Warfare (SPAWAR) Syst. Center Pacific, San Diego, CA, USA
Volume :
63
Issue :
14
fYear :
2015
fDate :
15-Jul-15
Firstpage :
3599
Lastpage :
3614
Abstract :
Underwater source localization via passive sonar is a challenging task due to the dynamic and complex nature of the acoustic environment. Different from approaches based on matched-field processing, this work explores broadband underwater source localization within a multitask learning (MTL) framework. Here, each task refers to a robust signal approximation problem over a single frequency. MTL provides a natural framework for exchanging information across the narrowband signal-approximation problems and constructing an aggregate (across frequencies) source-localization map. Efficient algorithms based on block coordinate descent (BCD) are developed for solving the source-localization problem. Complex-valued predictor screening rules for reducing the computational complexity of the algorithm are also developed. These rules discard map locations from the set of possible source locations prior to using BCD. They reduce the computational complexity of the localization algorithm without compromising the localization results. Tests of these approaches on synthetic and real data for the SWellEX-3 environment compare the performance of the proposed algorithm to that of alternative methods.
Keywords :
acoustic signal processing; computational complexity; learning (artificial intelligence); sonar signal processing; BCD; MTL framework; SWellEX-3 environment; acoustic environment; block coordinate descent; broadband underwater source localization mapping; complex valued predictor screening rule; computational complexity reduction; information exchange; matched field processing; multitask learning framework; passive sonar; robust narrowband signal approximation problem; Acoustic measurements; Acoustics; Arrays; Broadband communication; Frequency measurement; Position measurement; Signal processing algorithms; Block coordinate descent; group sparsity; multitask learning; underwater source localization;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2015.2432747
Filename :
7105942
Link To Document :
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