Abstract：In order to eliminate the influence caused by fluctuation of Received Signal Strength Indicator (RSSI) and unreliability of individual beacon nodes in complex indoor environment, an indoor localization algorithm based on threshold classification and signal strength weighting was proposed. First, the reference points were classified and corresponding thresholds were determined according to the characteristics of indoor pathloss, then the received signal strength was used as reference weight to locate. The experimental results show that this algorithm can effectively reduce the error caused by RSSI random jitter, weaken the influence of individual beacon nodes which are disturbed, and improve localization accuracy.
杨小亮 叶阿勇 凌远景. 基于阈值分类及信号强度加权的室内定位算法[J]. 计算机应用, 2013, 33(10): 2711-2714.
YANG Xiaoliang YE Ayong LING Yuanjing. Indoor localization algorithm based on threshold classification and signal strength weighting. Journal of Computer Applications, 2013, 33(10): 2711-2714.
2013, Vol. 33 
