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粒子滤波在电子航标节点跟踪中的应用

Study on Particle Filter Applied in Electronic AtoN Nodes Tracking
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摘要 提出一种高斯粒子滤波求解基于RSSI测距定位的无线传感器网络电子航标节点定位的非线性方程组算法.该算法在每次递推产生新的粒子时充分考虑了当前时刻的量测,使得该算法能很好地利用最新的量测信息.仿真结果表明该算法的节点估计均方误差在3 m以内.可见,它在解决非线性机动目标跟踪问题时有比较好的跟踪性能和滤波结果. Proposed one kind of Gauss granule filtering algorithm,used in solving the wireless sensor network electron navigation aid node localization algorithm nonlinear simultaneous equation which locates based on the RSSI ranging.This algorithm when each time the recursion produced the new granule had considered fully the current time's gauging,enabled this algorithm to use the newest gauging information well.The simulation result indicated that under the hypothesis simulation scene,estimated the mean error with the PF algorithm's node in 3 meters.Obviously,it had the quite good track performance and the filter result when solution misalignment maneuvering target track question.
作者 郑佳春
出处 《集美大学学报(自然科学版)》 CAS 2011年第6期429-433,共5页 Journal of Jimei University:Natural Science
基金 福建省科技重点项目(2008H0032) 厦门市科技项目(3502Z20103018)
关键词 电子航标 高斯粒子滤波 无线传感器网络 electronic AtoN GPF wireless sensor networks
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