LOCALIZATION USING SAW RFID SENSOR BASED ON KALMAN ALGORITHM
As surface acoustic wave (SAW) sensor has wireless and passive characteristics,the traditional time-of-flight location method is greatly affected by the path loss,and thus the location accuracy is low.In order to improve the location accuracy,a Kalman algorithm considering path loss is proposed.Combining with the path loss model,the relationship between the variance of location error and the detection distance is derived.Based on this relationship,the observation equation of the Kalman algorithm is modified,and also the Kalman algorithm with noise variance varying with distance is obtained.The simulation results show that the location variance of the traditional location algorithm is 0 ~ 1.78cm when the detection distance is within 1.5m,and the location variance of this method is 0 ~ 0.41cm.Compared with the traditional location algorithm,the accuracy of this method improves about 4 times,which verifies the reliability of this algorithm.
Surface acoustic wave Kalman algorithm Localization
Rui-xin HAN Hong-lang LI Zi-xiao LU Ya-bing KE Ya-hui TIAN
Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R.China, 100190;University of Chines National Center for Nanoscience and Technology, Beijing, P.R.China, 100190 Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R.China, 100190
国际会议
石家庄
英文
418-421
2019-11-01（万方平台首次上网日期，不代表论文的发表时间）