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为了实现蜂窝网中小信息量情况下对移动用户的定位,文中在只有一个基站和一台定位设备可用的条件下建立了TOA/TOA定位模型,并在该模型下提出了基于UKF算法的位置估计方法。并重点讨论了该定位模型下固有的模糊点问题的解决策略,最后给出了UKF算法在该方案下的进行定位的仿真结果并进行了讨论总结。通过仿真结果可以看出,给出的基于跟踪的UKF算法在定位精度和实时性上表现出了很好的性能。同时,该方案较传统定位对参数的要求更少,具有更广泛的应用空间。
In order to locate mobile users with small amount of information in cellular networks, a TOA / TOA positioning model is established under the condition that only one base station and one positioning device are available. Based on this model, a position estimation based on UKF algorithm is proposed method. And focuses on the solution to the inherent fuzzy point problem in the localization model. Finally, the simulation results of UKF algorithm under this scheme are given and discussed. It can be seen from the simulation results that the proposed tracking-based UKF algorithm shows good performance in positioning accuracy and real-time performance. At the same time, the scheme requires less parameters than traditional positioning and has more extensive application space.