Target Position Measurement Technology Based on Quantum-Behaved Particle Swarm Optimization

Jin Jie Yao; Jing Yang; Jian Li; Li Ming Wang; Yan Han

doi:10.4028/www.scientific.net/AMM.303-306.403

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Target Position Measurement Technology Based on...

Target Position Measurement Technology Based on Quantum-Behaved Particle Swarm Optimization

Abstract:

Quantum-behaved particle swarm optimization algorithm (QPSO) was proposed as a kind of swarm intelligence, which outperformed standard particle swarm optimization algorithm (PSO) in search ability. This paper presents an improved QPSO with nonlinear controlled parameter according to the fitness value of the particles. Simultaneously, we apply the improved QPSO to solve the problems of target position measurement. The experimental results show that the improved QPSO has faster convergence speed, higher measurement accuracy, and good localization performance.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

403-406

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.403

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Online since:

February 2013

Authors:

Jin Jie Yao, Jing Yang, Jian Li, Li Ming Wang, Yan Han

Keywords:

Particle Swarm, Quantum Behavior, Target Localization, Time Difference of Arrival (TDOA)

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