Title :
A Track-to-Track Association Approach with a 2-Dimensional Discrete Particle Quantum Swarm Optimization Algorithm for Radar Network
Author :
Wang Xuefei ; Shang Chaoxuan ; Wang Changsheng ; Zhang Fang
Author_Institution :
Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
In this paper, a two-dimensional discrete quantum particle swarm optimization(2D-DQPSO) algorithm is proposed to solve track-to-track association (TTTA) problem in radar network. To make the DQPSO algorithm effective for solving TTTA, some key technologies including a special coding method of particles and corresponding operators for updating the position of particles are proposed and defined. The performance of the proposed 2D-DQPSO algorithm to solve TTTA problem is verified through computer simulation.
Keywords :
encoding; particle swarm optimisation; quantum theory; radar tracking; sensor fusion; target tracking; 2D discrete particle quantum swarm optimization algorithm; 2D-DQPSO algorithm; coding method; computer simulation; multisensor multitarget tracking; radar network; track-to-track association approach; Particle swarm optimization; Radar tracking; Sensors; Sociology; Statistics; Target tracking; Multi-sensor Multi-target Tracking; Quantum Particle Swarm Optimization; Track Association;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.53