Computer Science ›› 2015, Vol. 42 ›› Issue (12): 76-81.

Previous Articles     Next Articles

Dynamic Target Tracking and Predicting Algorithm Based on Combination of Motion Equation and Kalman Filter

WANG Yan, DENG Qing-xu, LIU Geng-hao and YIN Biao   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In the view of problem that the traditional location technology is erroneous greatly,and can not predict the position of the target,this paper presented a dynamic target tracking and predicting algorithm ME-KF combining motion equation and Kalman filter,which simulates the motion characteristics of dynamic target by motion equation,reduces the influence of noise on the measurement results and predicts the position of the target in the next moment.This algorithm has been practically applied to personnel location system of Liaoning Paishanlou mine and has made remarkable achievements.The experimental results show that this method improves the precision of location,predicts people positions,makes early warning of possibly dangerous areas,and can also successfully analyze the distribution of obstacles.

Key words: Wireless location,Motion equation,Kalman filter,Dynamic target

[1] Guo Z W,Guo Y,Hong F,et al.Perpendicular intersection:Locating wireless sensors with mobile beacon[J].IEEE Trans.on Vehicular Technology,2010,59(7):3501-3509
[2] Han G J,Xu H H,Duong T,et al.Localization algorithms ofwireless sensor networks:A survey[J].Telecommunication Systems,2013,52(4):2419-2436
[3] Nekooei S M,Manzuri-Shalmani M T.Location finding in wireless sensor network based on soft computing methods[C]∥Proc.of the 2011 Int’l Conf.on Control,Automation and Systems Engineering (CASE).Singapore,2011:1-5
[4] Kulkarni R V,Frster A,Venayagamoorthy GK.Computational intelligence in wireless sensor networks:A survey[J].Communications Surveys & Tutorials,2011,13(1):68-96
[5] 叶苗,王宇平.基于变方差概率模型和进化计算的WSN定位算法[J].软件学报,2013,4(4):859-872 Ye M,Wang Y P.Location estimation in wireless sensor networks based on probabilistic model with variant variance and evolutionary algorithm[J].Journal of Software,2013,4(4):859-872
[6] C Hong-yang,D Ping,X Yong-jun,et al.A robust location algorithm with biased extended Kalman filtering of TDOA data for wireless sensor networks[C]∥Proceedings.2005 International Conference on Wireless Communications,Networking and Mobile Computing,2005.IEEE,2005,2:883-886
[7] Chung W C,Ha D S.An accurate ultra wideband (UWB) ranging for precision asset location[C]∥2003 IEEE Conference on Ultra Wideband Systems and Technologies.IEEE,2003:389-393
[8] 崔逊学,卢松升,陈云飞,等.基于短基线传感器网络的远场声源TDOA定位组合算法[J].计算机研究与发展,2014,1(3):465-478 Cui X X,Lu S S,Chen Y F,et al.Combination TDOA Localization Algorithms for Far-Field Sound Source Based on Short Base-Line Sensor Network[J].Journal of Computer Research and Development,2014,1(3):465-478
[9] 肖竹,谭光华,李仁发,等.无线传感器网络中基于超宽带的TOA/AOA联合定位研究[J].计算机研究与发展,2013,0(3):453-460 Xiao Z,Tan G H,Li R F,et al.Joint TOA/AOA Localization Based on UWB for Wireless Sensor Networks[J].Journal of Computer Research and Development,2013,0(3):453-460
[10] 牛建伟,刘洋,卢邦辉,等.一种基于Wi-Fi信号指纹的楼字内定位算法[J].计算机研究与发展,2013,0(3):568-577 Niu J W,Liu Y,Lu B H,et al.An In-Buliding Localization Algorithm Based on Wi-Fi Signal Fingerprint[J].Journal of Computer Research and Development,2013,0(3):568-577
[11] Bulusu N,Heidemann J,Estrin D.GPS-less low-cost outdoor localization for very small devices[J].Personal Communications,IEEE,2000,7(5):28-34
[12] 王新生,赵衍静,李海涛.基于DV-Hop定位算法的改进研究[J].计算机科学,2011,8(2):76-78 Wang X S,Zhao Y J,Li H T.Improved Study Based on DV-Hop Localization Algoritnm[J].Computer Science,2011,8(2):76-78
[13] Kalman R E.A new approach to linear filtering and prediction problems[J].Journal of Fluids Engineering,1960,82(1):35-45

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!