一种基于最小二乘估计的LTEMR电平信号定位方法

A LTEMR level signal localization algorithm based on ordinary least squares estimation

针对现有TD-LTE系统中的定位算法精确度不高的问题,提出一种利用最小二乘估计的LTE-MR定位算法.该算法首先基于电平值,结合自由空间传播模型,测算出手机与临近基站间的距离,采用求质心法抑制误差,利用已知基站坐标和未知定位点坐标表示两点地理坐标的距离,联立方程,最后利用最小二乘法求解特征方程,获得未知定位点的坐标.实验表明:若定位点与服务小区的距离值小于350m列为精确的点,该算法的定位性能在一天24h内定位的精确点占比为85.1%,若根据定位点是否落在小区的覆盖范围内来区分,定位点落在小区覆盖范围内的比例是17.4%.

In view of the problem that accuracy of positioning algorithm is not high for the existing TD-LTE system,a kind of positioning algorithm using the method of least squares estimate and self-designed LTE-MR localization algorithm is put forward in this paper.Firstly,this algorithm uses the level value,combined with free-space propagation model,to calculate the distance between the adjacent base station and mobile phone.This algorithm will suppress errors by using seeking center of mass.It uses the known station location and the unknown anchors coordinates to represent the distance between two geographic coordinates.Then the simultaneous equations can be conducted.Finally,the characteristic equation with Least squares estimation is solved and the coordinates of unknown anchors can be gotten.Experimental results show that if the distance between anchor point and the serving area is less than 350 m,the anchor point can be regarded as aprecise point,the positioning performance of the algorithm can reach at 85.1% at precise point positioning ratio in 24 hours.If the distinguishing criteria is based on whether the anchor point will fall within the coverage area in the serving area,the ratio of anchor points that fall within the coverage area of the serving area is 17.4%.