Target Tracking Approximation Algorithms based on Particle Filters and Near-linear Curve Simplified Optimization in WSN

摘要：

In order to process target tracking approximation with unknown motion state models beforehand in a two-dimensional field of binary proximity sensors, the algorithms based on cost functions of particle filters and near-linear curve simple optimization are proposed in this paper. Through moving target across detecting intersecting fields of sensors sequentially, cost functions are introduced to solve target tracking approximation and velocity estimation which is not similar to traditional particle filters that rely on probabilistic assumptions about the motion states. Then a near-linear curve geometric approach is used to simplify and easily describe target trajectories that are below a certain error measure. The validity of our algorithms is demonstrated through simulation results.

关键词： particle filters cost function target tracking

作者: Gao xiang Yang yintang Zhou duan Zhang jianxian Chai changchun

作者单位: Key Lab of Ministry of Education for Wide Band-gap Semiconductor Materials and Devices,School of Mic Key Lab of Ministry of Education for Wide Band-gap Semiconductor Materials and Devices, School of Mi School of Computer Science and Technology, Xidian University, Xi an, 710071, PR China Key Lab of Ministry of Education for Wide Band-gap Semiconductor Materials and Devices, School of Mi Key Lab of Ministry of Education for Wide Band-gap Semiconductor Materials and Devices, School of Mi

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 1079-1084

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）