Mobility Prediction Based Tracking of Moving Objects in Wireless Sensor Networks  

作　　者：TANG Chao XIA Yinqiu DOU Lihua 

机构地区：[1]School of Automation,Beijing Institute of Technology,Beijing 100081,China [2]Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401135,China

出　　处：《Chinese Journal of Electronics》2023年第4期793-805,共13页电子学报（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(61873301,61991414);the Natural Science Foundation of Chongqing(cstc2020jcyj-msxmX0647);the Shanghai Municipal Commission of Science and Technology Project(19511132101).

摘　　要：This paper investigates the multi-sensor fused localization of moving targets in a wireless sensor network.Each ultra-wide band(UWB)sensor is assigned a stability weight according to its survival time prediction.The measurement accuracy of each sensor into the constraints of the weight distribution based on the interactive multi-model method,a double weight distribution algorithm that considers measurement accuracy and stability is proposed.Based on the double weight algorithm,the measurement information of each UWB sensor,the inertial measurement unit(IMU)-based state vector and the UWB-based state vector by federated Kalman filter are integrated to realize the correction of the IMU.Finally,several numerical simulations are performed to show that the proposed algorithm can effectively suppress the measurement dropout when tracking moving targets in a wireless sensor network,and it can also automatically adjust the weight of each sensor based on the measurement error covariance to improve the tracking accuracy.

关 键 词：Wireless sensor networks Interacting multiple model Information fusion Object tracking 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]