在3GPP室外场景下基于粒子群优化算法的多用户定位方案

Multi-user Location Scheme Based on Particle Swarm Optimization Algorithm in 3GPP Outdoor Scene

高精度定位广泛应用于移动通信和蜂窝网络。因此,提出了一种高精度定位算法,该算法基于粒子群算法(Particle Swarm Optimization,PSO)融合时间差(Time Difference of Arrival,TDOA)测量和波达方向(Direction of Arrival,DOA)测量来进行定位。在3GPP Release 13版本所规定的网络部署和信道模型场景下,对该方案进行仿真评估。通过蒙特卡洛仿真结果显示,该算法相对传统LTE算法能将定位准确度提高7～8倍,达到1.3 m的定位精度。

High-precision positioning is widely used in mobile communications and cellular networks.Therefore,a high-precision positioning algorithm is proposed.The algorithm is based on particle swarm optimization(PSO)fusion time difference of Arrival(TDOA)measurement and direction of arrival(DOA)measurement to locate.Under the network deployment and channel model scenario specified in 3GPP Release 13,the scheme is evaluated by simulation.The results of Monte Carlo simulation show that the algorithm can improve the positioning accuracy by 7 to 8 times compared to the traditional LTE algorithm and reach 1.3 m.