Maximum Likelihood Source Localization in UWSAN Using Acoustic Energy

Abstract

With novel underwater wireless sensor array network (UWSAN) architecture that consists of multiple distributed arrays of acoustic sensors, maximum likelihood localization based on acoustic energy is proposed for solving the source localization in underwater and low signal to noise ratio. The exactly maximum likelihood (ML) target location estimator is derived. Very impressive simulation results demonstrated the feasibility of such a new approach for underwater wireless sensor network (UWSN). And comparison with the single sensor UWSN, the performance of localization is improved, especially in low SNR.