Accurate angle-of-arrival measurement using particle swarm optimization

M. Li, Kwok Shun Ho, G. Hayward

Research output: Contribution to journalArticle

Abstract

As one of the major methods for location positioning, angle-of-arrival (AOA) estimation is a significant technology in radar, sonar, radio astronomy, and mobile communications. AOA measurements can be exploited to locate mobile units, enhance communication efficiency and network capacity, and support location-aided routing, dynamic network management, and many location-based services. In this paper, we propose an algorithm for AOA estimation in colored noise fields and harsh application scenarios. By modeling the unknown noise covariance as a linear combination of known weighting matrices, a maximum likelihood (ML) criterion is established, and a particle swarm optimization (PSO) paradigm is designed to optimize the cost function. Simulation results demonstrate that the paired estimator PSO-ML significantly outperforms other popular techniques and produces superior AOA estimates.
LanguageEnglish
Pages358-364
Number of pages7
JournalWireless Sensor Networks
Volume2
Issue number5
DOIs
Publication statusPublished - May 2010

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Particle swarm optimization (PSO)
Maximum likelihood
Radio astronomy
Location based services
Communication
Sonar
Network management
Cost functions
Radar

Keywords

  • angle-of-arrival
  • AOA
  • radar
  • sonar
  • radio astronomy
  • mobile communications
  • communication
  • colored noise fields

Cite this

Li, M. ; Ho, Kwok Shun ; Hayward, G. / Accurate angle-of-arrival measurement using particle swarm optimization. In: Wireless Sensor Networks. 2010 ; Vol. 2, No. 5. pp. 358-364.
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Accurate angle-of-arrival measurement using particle swarm optimization. / Li, M.; Ho, Kwok Shun; Hayward, G.

In: Wireless Sensor Networks, Vol. 2, No. 5, 05.2010, p. 358-364.

Research output: Contribution to journalArticle

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