基于RSSI加权数据融合的TDOA定位算法

摘要

TDOA algorithm for wireless localization is widely used in wireless localization, but the ambiguity problem exists in it and the correctness of time difference has a great influence on localization accuracy. Through the research on TDOA and RSSI algorithms, a new localization algorithm called TDOA/RSSI that utilizing RSSI weighted data fusion to amend several initial position estimates which were gained by TDOA algorithm to obtain a better estimate was proposed. It needs less calculation and achieves lower localization error. Simulation results show that the localization ambiguity is eliminated and the localization accuracy is increased more with the new algorithm compared with normal TDOA algorithm.%为解决基于到达时间差(TDOA)定位算法中的定位模糊、测量时差的精确度对定位精度影响较大等问题,通过对TDOA、基于接收信号强度(RSSI)定位算法进行研究分析,提出利用RSSI加权数据融合修正由TDOA算法获得的多个初始位置估计值,从而获得更优位置估计的TDOA/RSSI定位算法.该算法具有计算量小,能有效降低定位误差的优点.仿真结果表明,此算法较普通的TDOA定位算法消除定位模糊,并进一步提高了定位精度.