本文通过对蜂窝网络无线定位技术的研究,提出了一种结合衰减因子的基于Chan氏算法的TDOA/AOA混合定位方法。利用最陡梯度算法把衰减因子加入到TDOA测量方程中,并结合AOA估计值,利用Chan算法进行混合定位,通过不断的迭代更新衰减因子,最大限度的消除非视距误差,使得TDOA测量值接近真实值,以提高定位算法的精度。 Based on the research of wireless location technology for cellular networks, this paper proposes a TDOA / AOA hybrid positioning method based on Chan algorithm combined with attenuation factor. The steepest gradient algorithm is used to add the attenuation factor to the TDOA measurement equation. Combined with the AOA estimation, Chan algorithm is used for hybrid positioning. The attenuation factor is updated by continuous iteration to eliminate non-line-of-sight errors to the maximum, Real value, to improve the accuracy of the positioning algorithm.