Sub-Antenna Sparse Processing for Coherence Loss in Underwater Source Localization
Résumé
In underwater acoustics, inversion tech-
niques, also called "Matched Field" processing, remain
the best methods for locating acoustic sources. But this
is without counting on the environmental parameter
fluctuations that lead to injurious coherence loss.
We have shown in a previous work that a sub-antenna
approach could be well suited to deal with such coher-
ence loss, however at the expense of a lower resolution.
In this paper, we propose to solve this drawback by
considering sparse priors.
In the experimental part of this paper, by using
numerical simulations of plane waves subject to coher-
ence loss, we demonstrate that the proposed method
not only outperforms a classical beamformer in terms
of source localization performance, but also, that it
improves the antenna resolution.