This paper proposes a scattering area model for processing multipath parameters achieve single base station positioning. First of all, we construct a scattering area model based on the spatial layout of obstacles near the base station and then collect the multipath signals needed for positioning and extract parameters. Second, we use the joint clustering algorithm improved by k-means clustering and mean shift clustering algorithm to process the parameters and extract useful information. Third, the processed information is combined with the spatial layout information of the scattering area model to construct equations, and then the solving problem of equations is converted into a least-squares optimization problem. Finally, the Levenberg-Marquardt (LM) algorithm is used to solve the optimal solution and estimate the mobile target position. The simulation results show that the positioning algorithm in this paper can be used by a single base station to locate the target in an outdoor non-line-of-sight (NLOS) environment, and the accuracy is improved compared with the traditional positioning algorithm.

本文提出了一种散射区域模型，用于处理多径参数以实现单基站定位。首先，我们根据基站附近障碍物的空间布局构造一个散射区域模型，然后收集定位所需的多径信号并提取参数。其次，我们使用经过k均值聚类和均值漂移聚类改进的联合聚类算法来处理参数并提取有用的信息。第三，将处理后的信息与散射区域模型的空间布局信息相结合，构造方程，然后将方程的求解问题转换为最小二乘优化问题。最后，使用Levenberg-Marquardt（LM）算法求解最优解并估计移动目标位置。