摘要
在建筑物内人员定位系统中,严重的多径和非视距现象造成测距误差较大,采取措施降低测距误差对定位精度的影响是建筑物内人员定位的重要问题,本文阐述了利用ZigBee技术架构无线定位系统,以三边测量法和基于测距的RSSI值算法作为定位算法,加入卡尔曼滤波进行优化,充分利用了卡尔曼滤波的预测功能在预测方程中引入新的因子,使误差减小,最终得到更精准的定位信息.
In the building personnel positioning system, serious multipath and ranging error caused by non-line-of-sight phenomenon is bigger, take measures to reduce the influence of the ranging error on localization accuracy is one of the important issues within the building personnel positioning, wireless positioning system using zigee tech-nology architecture, now with the trilateral measurement method and algorithm based on distance measuring RSSI value as a localization algorithm, to join the Kalman filter is optimized, make full use of the prediction of the Kal-man filter Introducing a new factor in the prediction equation, reduce error, finally get a more accurate location in-formation.
出处
《吉林建筑大学学报》
CAS
2015年第3期68-70,共3页
Journal of Jilin Jianzhu University
