目前对于时间差定位差(Time Difference of Arrival,TDOA)的算法中,存在着定位偏差大、时间接收存在偏差等问题,直接导致定位精度受到很大影响.在各项定位算法中,基于接收信号强度定位算法(Received Signal Strength Indication,RSSI),具有覆盖面积广、精度高的特点,因此提出采用RSSI算法筛选修正过后进行TDOA算法的分层融合算法,使得整体的定位精度得到进一步提升.此分层融合算法可以提高定位精度,尽可能地减小因外部环境变化导致的定位误差.通过仿真可以看出,和现有的融合算法比较,该分层融合算法的可行性和稳定性有一定提升.
Mobile vehicle wireless location algorithm based on hierarchical fusion of RSSI and TDOA
In the current Time Difference of Arrival(TDOA)algorithm,there are some problems such as large positioning devia-tion and time reception deviation,which directly affect the positioning accuracy greatly.Among the positioning algorithms,the Re-ceived Signal Strength Indication(RSSI)algorithm has the characteristics of wide coverage and high precision.Therefore,the hierarchi-cal fusion algorithm of TDOA algorithm is proposed after screening and revising with RSSI algorithm.The overall positioning accuracy is further improved.This hierarchical fusion algorithm can improve positioning accuracy and reduce positioning errors caused by chang-es in external environment as much as possible.Through simulation,it can be seen that the feasibility and stability of the layered fusion algorithm are improved compared with the existing fusion algorithm.
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