摘要
移动目标与基站之间的距离信息在基于无线传感器网络定位中起着至关重要的作用。目前,大多数室内定位算法在视距(LOS)环境下能够取得较高的定位精度,然而由于室内环境的复杂性,在非视距(Non-Line-of-Sight,NLOS)环境下,经典的定位算法就无法保证理想的精度。针对室内非视距环境,提出了基于(Time of Arrival,TOA)测距下的改进EKF算法。该算法采用预测与测量比较阈值和误差分析结合的方法,能够有效辨识非视距环境下的测距信息,并使用视距环境下的信息完成目标定位。仿真和实验结果表明,该改进的算法能够明显提高移动目标在非视距环境下的定位精度。
The distance information between the moving target and the base station plays an important part in wireless sensor network positioning.At present,most indoor positioning algorithm can achieve high positioning accuracy in line-of-sight(LOS)environment.However,because of the complexity of the indoor environment,the classical positioning algorithm cannot ensure an ideal precision in the NLOS(Non-Line-ofSight)environment.The improved EKF algorithm based on TOA(Time of Arrival)is proposed for the indoor NLOS environment.The algorithm uses a combination of thresholds between prediction and measurement and error analysis,which can effectively identify the ranging information in the NLOS environment and use the information in the LOS environment to accomplish the target positioning.The simulation and experimental results indicate that the improved algorithm can significantly improve the positioning accuracy of the moving target in the NLOS environment.
作者
田昕
魏国亮
王建华
管启
TIAN Xin;WEI Guo-liang;WANG Jian-hua;GUAN Qi(College of Optical-Electrical information and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;College of Science,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《控制工程》
CSCD
北大核心
2020年第5期909-913,共5页
Control Engineering of China
基金
上海市地方高校能力建设(15550502500)。
