微型机与应用Issue(3)：47-49,54,4.
基于小波变换的AOA定位算法
An AOA location algorithm based on wavelet transform
摘要
Abstract
This paper presents a location algorithm with non-line-of-sight (NLOS)errors for MS (mobile station). The wavelet analysis is used to modify the NLOS measurements of AOA, and then using the least-square (LS) algorithm to estimate the location of the mobile station. The simulation results show that, the algorithm could efficiently reduce the influence of NLOS error, and the performance is better than LS algorithm and neural network algorithm based on AOA.关键词
非视距传播/小波分析/最小二乘法/AOAKey words
non-line-of-sight (NLOS)/wavelet analysis/least-square algorithm/angel of arrival(AOA)分类
电子信息工程引用本文复制引用
杨阳,毛永毅,郑敏..基于小波变换的AOA定位算法[J].微型机与应用,2014,(3):47-49,54,4.基金项目
陕西省自然科学基金资助项目（2009JM8015）；陕西省教育厅专项科研项目 （）
