Research on track estimation based on Kalman filtering algorithm

DENG Hu-bin1; ZHANG Lei1; WU Ying1; ZHOU Jie1; LIU Feng2

doi:10.13873/j.1000-97872012.05.018

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Research on track estimation based on Kalman filtering algorithm

更新时间：2025-09-11

- Research on track estimation based on Kalman filtering algorithm
- Vol. 31, Issue 5, Pages: 4-7(2012)
- 作者机构：
  
  1. 华东交通大学信息工程学院
  2. 郑州大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.05.018
  CLC： TN929.5;TP212.9
- Published：2012
- 稿件说明：
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[1]邓胡滨,张磊,吴颖,周洁,刘枫.基于卡尔曼滤波算法的轨迹估计研究[J].传感器与微系统,2012,31(05):4-7.

DENG Hu-bin1, ZHANG Lei1, WU Ying1, et al. Research on track estimation based on Kalman filtering algorithm[J]. 2012, 31(5): 4-7.
[1]邓胡滨,张磊,吴颖,周洁,刘枫.基于卡尔曼滤波算法的轨迹估计研究[J].传感器与微系统,2012,31(05):4-7. DOI： 10.13873/j.1000-97872012.05.018.

DENG Hu-bin1, ZHANG Lei1, WU Ying1, et al. Research on track estimation based on Kalman filtering algorithm[J]. 2012, 31(5): 4-7. DOI： 10.13873/j.1000-97872012.05.018.

摘要

在无线传感器网络中节点定位系统中

基于接收信号强度指示（RSSI）技术的定位算法研究有很多

这种定位技术成本低而且易于实现

但RSSI定位技术因容易受到环境因素的影响

在测距过程中

估测距离的误差很大。在RSSI定位系统的基础上

加入系统噪声和测量噪声

根据系统状态方程和动态系统测量方程

利用卡尔曼滤波算法

对RSSI进行滤波

并估测出移动节点的运动轨迹。仿真结果表明:改进卡尔曼滤波算法提高了移动节点的运动轨迹的定位精度。

Abstract

Many studies are carried on localization algorithm based on RSSI technology in WSNs

but the low-cost and easy-inplemented localization technology are vulnerable to environmental factors

so there would be a large error in distance estimation during ranging.According to the system state equation and measurement equation of dynamic system

system noise and measurement noise are added to the RSSI localization system and Kalman filtering algorithm is used to filter RSSI and to estimate the trajectory of mobile node.Simulation results show that the localization precision of trajectory of the mobile node is increased by the improved Kalman fitlering algorithm.

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Keywords

references

室内超声波定位系统的构建与测试 [J]. 郑静,张劼,华泽钊,徐根林. 上海理工大学学报 . 2007(06)

基于非度量多维标度的无线传感器网络节点定位算法 [J]. 肖玲,李仁发,罗娟. 计算机研究与发展 . 2007(03)

无线传感器网络定位算法研究 [J]. 于宁,万江文,吴银锋. 传感技术学报 . 2007(01)

无线传感器网络中的自身定位系统和算法 [J]. 王福豹,史龙,任丰原. 软件学报 . 2005(05)

室内移动机器人超声传感器导航网络分布研究 [J]. 俞竹青,那须康雄. 传感器技术 . 2003(11)

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