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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...
A novel underwater wireless sensor array network architecture is proposed. In this wireless sensor network, the maximum likelihood estimate of target location based on amplitude and phase of acoustic signatures is developed. Each local likelihood function can be partitioned into the amplitude and phase portion. For each sensor node is attached to a local sensor array which can performs maximum likelihood...
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