摘要
提出了一种在非视距(NLOS)环境下对移动台的定位算法。首先利用小波分析对AOA的测量值中的NLOS进行修正,再利用最小二乘(LS)算法确定移动台的位置。仿真结果表明,该算法能够有效地降低非视距环境误差的影响,性能优于基于AOA的LS算法以及神经网络算法。
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.
出处
《微型机与应用》
2014年第3期47-49,54,共4页
Microcomputer & Its Applications
基金
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(2010JK815)
关键词
非视距传播
小波分析
最小二乘法
AOA
non-line-of-sight (NLOS)
wavelet analysis
least-square algorithm
angel of arrival(AOA)
