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In this paper, a particle swarm optimization approach for the energy-based acoustic source localization of a wireless sensor network is presented. For this work, it is assumed that there is one acoustic source with unknown localizations which transmit acoustic signals that can be received by the nodes. The only available information to the system is the received signal energy which is not very accurate...
This paper investigates the three-dimensional passive source localization problem by a system of multiple antenna arrays. It is well-known that centralized and coherent processing of all sensor antenna outputs offers a performance benefit in comparison to decentralized processing, where the latter is easier to implement. We compare the Crame??r-Rao bound on the source locations for both cases, review...
This correspondence describes an efficient Bayesian framework for localization of moving terminals (MTs) in wideband wireless networks. In a previous paper, the authors have presented a grid-based technique, based on a hidden Markov model, that used the power delay profiles of the received signals to track the MT position. This grid-based Bayesian method has proved its efficacy in reducing localization...
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