基于隐马尔可夫模型的Cell-ID定位跟踪方法

A location and tracking algorithm using Cell-ID based on Hidden Markov Model

摘要:

针对传统基地台识别码(Cell-ID)定位方法精确度不高的问题，提出一种新的Cell-ID定位跟踪算法。该算法利用移动台当前的服务基站信息和相邻基站信息，分别加权计算出似然向量，通过隐马尔可夫模型来获得移动台的运动状态，最后利用最大后验概率准则求出移动台的位置。实验结果表明，该算法复杂度低，在服务基站稳定的区域内定位性能良好，达到通信委员会(FCC)的定位精确度要求。

Abstract:

Considering the low precision of traditional Cell-identity(ID) algorithm，this paper proposes a new algorithm of Cell-ID location and tracking. The proposed algorithm makes use of current Base Station(BS) and the adjacent BS，and calculates the likelihood vectors using different weight coefficients. The motion states of Mobile Station(MS) are obtained through Hidden Markov Model(HMM)，and the position of MS is determined. The experimental results show that the algorithm bears good location performance in stable serving BS with low complexity，which meets the location requirements of Federal Communications Commission(FCC).