基于传播损耗模型的最大似然估计室内定位算法

A Maximum-Likelihood Indoor Location Algorithm Based on Indoor Propagation Loss Model

基于对数正态分布的室内传播损耗模型,本文利用最大似然估计算法,通过迭代估计得到用户与各个接收机之间的距离和相应的传播损耗模型中的遮蔽因子,并由此估计得到室内用户的位置。仿真结果表明,本算法收敛速度快,并有较高估计精度。

Based on the indoor propagation loss model, the algorithm uses the Maximum-Likelihood （ML） method, takes advantage of an iterative method to get the distances between the user and each receiver and the corresponding estimation of the shadowing factor in the propagation loss model, and gets the location estimation. The simulation show that the algorithm can converge at the final estimation quickly and accurately.