Array element localisation of rapidly deployed systems
Keywords:
Acoustic signal processing, Inverse problems, Oceanography, Remote sensing, Sensors, Simulated annealing, Array processing techniques, Rapidly deployed systems, Standard grid search techniquesAbstract
Array processing techniques such as beamforming or matched field processing require accurate knowledge of the location of individual elements in the array. For horizontal arrays laid on the ocean floor, relative arrival times measured across the array from nearby implosive sources are often used to aid in estimating the sensor positions. However, the inverse problem of determining the sensor positions from the relative arrival times is both nonunique and ill-conditioned. Standard grid search techniques rely on very accurate measurements of the source locations and some knowledge of the array. This paper shows how simulated annealing can be used to solve the inverse problem with limited knowledge of the array or source locations. Synthetic studies show that relative sensor locations can be exactly found while tests with real data show an improvement in array gain comparable to the theoretical limit obtained from a perfectly known array.Additional Files
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