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Application of particle swarm optimization to TDOA-based location.

Guardado en:
Publicado en:Yingyong Keji (Applied Science and Technology) vol. 32, no. 10 (Oct. 2005), p. 7-9
Autor principal: Li, Jun-Feng
Otros Autores: Gao, Hong-Yuan, Pang, Wei-Zheng, Tong, Zhi-Yong
Publicado:
Harbin Engineering Universty, 1st Building 145 Nantong Street, Harbin, 150001, China, [mailto:heuyykj@vip.sina.com]
Materias:
Algorithms
Optimization
Lithium
Communications engineering
Nonlinearity
Fitness
Acceso en línea:Citation/Abstract
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Resumen:The particle swarm optimization for the nonlinear optimization in TDOA-based location is proposed in this paper. By initializing a random particle swarm, updating the velocity and position of particles in accordance with the fitness of particles, the algorithm searches the optimal coordinates through iterative searching. The experimental results show that if the parameters are assumed reasonably, the algorithm is stable and can find the global optimal solution. It has a higher accuracy than other algorithms.
ISSN:1009-671X
Fuente:Advanced Technologies & Aerospace Index