【摘要】 为了改进NLOS传播环境下的定位精度,提出了一种利用多个基站AOA信息进行变权值递归定位的算法。该方法利用多个基站测量的到达时间和到达角度进行单独定位,将定位结果拟合作为泰勒递归定位的初始值,然后利用单基站定位结果和泰勒定位结果的距离差作为每个基站的权值,进行泰勒递归定位,随着定位结果向真实值的逼近,逐渐改变参与定位基站的权值,以有效减小非视距基站在定位中的影响,提高定位精度。仿真结果证明了该方法的有效性。更多还原

【Abstract】 This paper proposes a recursive location method in NLOS environment, which use AOA information and variable weight. In the method every base station measure the AOA and TOA information and provide a location result, then fit all results into one and make it the initial estimation for Taylor series expansion. And the differences between single BS location result and the Taylor method result are look as every base station’ s weight. With the location processing, change the weights of BSs. The simulation shows that the method can alleviate the effect of NLOS propagation and increase the accuracy of location.更多还原