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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.
Original language | English |
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Pages (from-to) | 358-364 |
Number of pages | 7 |
Journal | Wireless Sensor Networks |
Volume | 2 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2010 |
Keywords
- angle-of-arrival
- AOA
- radar
- sonar
- radio astronomy
- mobile communications
- communication
- colored noise fields
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Dive into the research topics of 'Accurate angle-of-arrival measurement using particle swarm optimization'. Together they form a unique fingerprint.Projects
- 1 Finished
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PGII: Generation, Detection & Analysis of Optimally Coded Ultrasonic Waveforms
Gachagan, A., Hayward, G., Mulholland, A. & Pierce, G.
EPSRC (Engineering and Physical Sciences Research Council)
9/06/08 → 9/09/12
Project: Research