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基于传感器网络的分段线性拟合跟踪算法研究
引用本文:宋超凡,董慧颖.基于传感器网络的分段线性拟合跟踪算法研究[J].沈阳理工大学学报,2007,26(2):20-23.
作者姓名:宋超凡  董慧颖
作者单位:沈阳理工大学,信息科学与工程学院,辽宁,沈阳,110168
摘    要:对基于无线传感器网络(WSN)的目标跟踪机制进行了研究,采用一种分段线性拟合的方法对做正弦运动的目标进行跟踪,该方法是利用目标位置历史数据序列建立直线方程,用此直线方程预测目标未来时刻的位置及速度,实现对目标实时预测.仿真试验结果表明,该方法与滑动窗多项式拟合法相比具有计算量小、精度高的优点,更加有利于实现对目标的跟踪.

关 键 词:无线传感器网络  目标跟踪  实时预测  分段线性拟合
文章编号:1003-1251(2007)02-0020-04
修稿时间:2006-11-29

A Study on the Tracking Algorithm of Segmental Linear Fitting Based on the WSN
SONG Chao-fan,DONG Hui-ying.A Study on the Tracking Algorithm of Segmental Linear Fitting Based on the WSN[J].Transactions of Shenyang Ligong University,2007,26(2):20-23.
Authors:SONG Chao-fan  DONG Hui-ying
Affiliation:Shenyang l.igong University ,Shenyang 110168, China
Abstract:The target tracking mechanism based on the WSN is studied.A segmental linear fitting method is adopted to track the target which is moving at sinusoid.By using the historic data sequence of the target position for building a straight line equation,and then using the equation for predicting the target's position and velocity at the future moment,the real-time prediction of the target is implemented.The simulation results demonstrate that,compared with sliding window polynomial fitting,this method has smaller calculation and higher-accuracy,it is more suitable for real-time tracking of the target.
Keywords:wireless sensor network(WSN)  target tracking  real-time prediction  segmental linear fitting
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