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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/343
Title: Maximum likelihood source localisation in wireless sensor network using particle swarm optimisation
Authors: Panigrahi T.
Panda G.
Majhi B.
Keywords: Direction of arrival
Maximum likelihood estimation
MUSIC
Particle swarm optimisation
PSO
Wireless sensor network
WSN
Issue Date: 2013
Citation: 5
Abstract: Direction-Of-Arrival (DOA) estimation in wireless sensor network is an important problem. Decentralised approach using antenna arrays at each node or sensor arrays at different positions are used to localise the sources. In this paper we proposed a centralised method where every node will participate in bearing estimation to achieve best resolution with minimum computation. The DOA is obtained by optimising ML function formed by a random array with all the nodes globally. A Particle Swarm Optimisation (PSO) based solution is proposed here to compute DOA. Simulation results confirm the advantages of PSO over most analysed multiple signal classification (MUSIC) algorithms. Copyright � 2013 Inderscience Enterprises Ltd.
URI: http://dx.doi.org/10.1504/IJSISE.2013.053414
http://10.10.32.48:8080/jspui/handle/2008/343
Appears in Collections:Research Publications

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