摘要
本文提出了当基站在空间随意分布时考虑非视线（NLOS）传播影响的TOA算法。其主要思想把权值最大的基站即存在NLOS误差的基站的非视距误差当作未知量,把非线性问题转化为最大似然（ML）线性估计。此算法结构简单,计算结果有较高的精度。并把该算法与其他算法做了详细的比较。
An effective TOA algorithm which includes the influence of non-line-of sight （NLOS） Propagation when the Base stations are distributed arbitrarily is proposed, The main idea is that when identifying the NLOS error BS by the weight of each BS, the NLOS error is referred to the variable, and the nonlinear equation can be transformed into a maximum-likelihood（ML） linear estimation, This algorithm is simple and has higher accuracy, Then, other algorithms are compared with this.
作者
方鹏
胡宗福
FANG Peng,HU Zong-fu （Tong Ji University,Communication and Information System,Shanghai 200092,China）
出处
《电脑知识与技术》
2007年第8期791-792,共2页
Computer Knowledge and Technology
关键词
非视距传播
信号到达时间
最大似然估计
non-line-of-sight propagation
time of arrival
maximum likelihood（ML） estimation
