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为了提高传统的TOA/AOA定位技术在非视距环境下的定位精度,提出了一种基于散射体信息的混合定位方法.首先,利用基站坐标信息和TOA测量值确定线性化的可行区域,产生移动台的候选位置点.对每一个移动台候选点,结合TOA和AOA测量值,计算各自散射体半径,通过与先验的散射体信息的比较,筛选候选移动台位置点.然后,运用自适应模糊聚类算法估计移动台位置,完成定位.最后,对所提出的定位算法进行了仿真验证.仿真结果表明:所提出的基于散射体信息的混合TOA/AOA定位算法能够减轻非视距效应,有效估计移动台位置.
In order to improve the positioning accuracy of traditional TOA / AOA positioning technology in non-line-of-sight environment, a hybrid positioning method based on scatterer information is proposed.Firstly, the feasibility of linearization is determined by using the base station coordinates and TOA measurements Mobile station candidate position points for each mobile station candidate points, combined with TOA and AOA measurements, calculate the radius of each scatterer, and by comparing with the prior scatter information screening candidate mobile station location point.Then, using self The proposed algorithm is validated by fuzzy clustering algorithm to estimate the position of the mobile station, and the location is completed.Finally, the proposed localization algorithm is validated by simulation.The simulation results show that the proposed hybrid TOA / AOA location algorithm based on scatterer information can reduce the effect of non-line-of-sight , Effectively estimate the location of the mobile station.