Abstrakt
Passive source localization in shallow water has always been an important
and challenging problem. Implementing scientific research, surveying, and
monitoring using a short, less than ten meter long, horizontal linear
array has received considerable attention in the recent years. The short
array can be conveniently placed on autonomous underwater vehicles and
deployed for adaptive spatial sampling. However, it is usually difficult
to obtain a sufficient spatial gain for localizing long-range sources due
to its limited physical size. To address this problem, a localization
approach is proposed which is based on matched-field processing of the
likelihood of the passive source localization in shallow water, as well as
inter-position processing for the improved localization performance and
the enhanced stability of the estimation process. The ability of the
proposed approach is examined through the two-dimensional synthetic test
cases which involves ocean environmental mismatch and position errors of
the short array. The presented results illustrate the localization
performance for various source locations at different signal- to-noise
ratios and demonstrate the build up over time of the positional parameters
of the estimated source as the short array moves at a low speed along a
straight line at a certain depth.
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