为了提高在NLOS 条件下无线定位的精度, 采用多种测量值混合定位的方式, 提出了一种 TDOA /AOA 最速下降混合定位算法.-In order to improve the accuracy of wireless location in NLOS conditions, using a variety of hybrid positioning of the measurement value, a TDOA/AOA steepest descent hybrid algorithm

为了减小NLOS 传播的影响，基于几何结构的单次反射统计信道模型，该文提出一种NLOS 环境下的TOA/AOA 定位算法。利用RBF 神经网络较快的学习特性和逼近任意非线性映射的能力，对NLOS 传播的误差进行修正以减小NLOS 传播的影响，再利用最小二乘(LS)算法进行定位，从而提高系统的定位精度。-In order to mitigate the effect of NLOS propagation, based on the Geometry Based Single- Bounced

无线定位基本算法TDOA_TOA_AOA tdoa通用算法-TDOA TOA AOA

使用SCOP和OMP算法估计AOA，进而得到信道参数，信道得以准确估计-Use SCOP and OMP algorithm to estimate AOA, and then get the channel parameters, to accurately estimate the channel