Maximum likelihood source localisation in wireless sensor network using particle swarm optimisation

被引：5

作者：

Panigrahi, T. ^{[1
]}

Panda, G. ^{[2
]}

Majhi, B. ^{[3
]}

机构：

[1] Natl Inst Technol Rourkela, Dept Elect & Commun Engn, Rourkela 769008, India

[2] Indian Inst Technol Bhubaneswar, Sch Elect Sci, Bhubaneswar 713002, Orissa, India

[3] Sikhya o Anusandhan Univ, Dept Informat Technol, ITER, Bhubaneswar, Orissa, India

来源：

INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING | 2013年 / 6卷 / 02期

关键词：

WSN; wireless sensor network; maximum likelihood estimation; MUSIC; PSO; particle swarm optimisation; direction of arrival;

D O I：

10.1504/IJSISE.2013.053414

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：83 / 90

页数：8

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