关键词: 接收信号强度指示, 节点定位, 卡尔曼滤波, 定位误差

Abstract:

When using the received signal strength indicator （RSSI） to locate, RSSI values are easily affected by environmental factors which will cause the localization error.In order to reduce the localization error, using Kalman filter to optimize successive RSSI values based on the modified weighted centroid localization algorithm,achiving real-time prediction and estimation for the purpose of making simulating results close as possible to actual distance so that provide more accurate datas for follow-up localization. Simulation results show that improved algorithm reduced the positioning error, improve the positioning accuracy compared with the former method.

Key words: RSSI;node location;Kalman filter;localization error