摘要
针对复杂的室内环境,基于ZigBee的接收信号强度指示(RSSI)室内定位技术以功耗低、成本低等优势脱颖而出。但RSSI信号强度容易受环境、障碍物、人员走动的干扰而产生波动,影响定位精度。针对以上问题,结合现有滤波算法的优点,提出一种基于卡尔曼滤波、高斯滤波、限幅滤波、加权平均值滤波相融合的新型混合滤波算法——KGWAL。以KGWAL滤波后的RSSI采样值为基础,根据最小二乘法估计路径损耗模型。最后用加权质心三边定位得到实际位置。实验结果表明:KGWAL滤波能很大程度提高RSSI采样值精度,优化后的室内路径损耗模型能够精确反应RSSI与距离的关系,定位精度在0.315 m左右,定位精度得到明显提升。
For complex indoor positioning,ZigBee-based received signal strength indication(RSSI)indoor positioning technology stands out with its advantages of low power consumption and low cost.However,the RSSI signal strength is susceptible to fluctuations caused by the interference of the environment,obstacles,and people moving,which affects the positioning precision.Aiming at the above problem,combining the advantages of existing filtering algorithms,a new hybrid filtering algorithm,KGWAL,based on the fusion of Kalman filtering,Gaussian filtering,limiting amplitude filtering,and weighted mean filtering is proposed.Based on the KGWAL filtered RSSI sampling value,the path loss model is estimated according to the least square method.Finally,the actual position is obtained by the weighted centroid trilateral positioning.Experimental results show that KGWAL filtering can greatly improve the precision of RSSI sampling values,and the optimized indoor path loss model can accurately reflect the relationship between RSSI and distance.The positioning precision is about 0.315m,and the positioning precision is significantly improved.
作者
张智超
李新娥
顾攀
张瑜
ZHANG Zhichao;LI Xin’e;GU Pan;ZHANG Yu(Science and Technology on Electronic Test and Measurement Laboratory,North University of China,Taiyuan 030051,China;School of Electrical and Control Engineering,North University of China,Taiyuan 030051,China)
出处
《传感器与微系统》
CSCD
北大核心
2023年第5期126-129,134,共5页
Transducer and Microsystem Technologies
关键词
室内定位
混合滤波
接收信号强度指标
测距方法
ZIGBEE技术
indoor positioning
hybrid filtering
received signal strength indication(RSSI)
ranging method
ZigBee technology
