QPSO Re-sampling Particle Filter Applications In Target Tracking

摘要：

Particle degradation is an important factor that affects filter performance.As time increases,the importance of weight may be concentrated to a small number of particles cannot effectively represent the posterior probability density function.QPSO applied to particle re-sampling,Making the particles away from the true state tend to the true state before updating the weights tend further to the high likelihood region,through the optimization of QPSO.Making use of quantum behavior of the particle swarm algorithm to obtain the optimal estimation of system state.Simulation results show that this method is not sensitive to initial conditions,with strong tracking capabilities.

关键词： Quantum Behaved Particle Swarm Optimization Particle Filter re-sampling target tracking

作者: Zhenjiang Zhao Wei Gao

作者单位: College of Computer Science and Technology Shenyang University of Chemical Technology Shenyang Liaoning,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 200-204

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）