基于多载波时频迭代的最大似然TOA估计算法

Maximum Likelihood TOA Estimation Algorithm Based on Multicarrier Time-frequency Iteration

在合理布局井下无线网络基站的基础上,提出了一种基于多载波时频迭代的最大似然TOA(Time of Arrival)估计算法,通过将小数延时不断迭代来缩小估计误差,确定合适搜索步长,实现对信号的精确TOA估计。仿真结果表明:时频迭代的最大似然TOA估计算法具有更快的收敛速度;在信噪比较小时,采用时频迭代的最大似然TOA估计算法比经典TOA估计算法有效地提高了估计精度。

The influence of underground multipath, non-line of sight and the network time synchronization accuracy cause that delayed arrival time estimation deviation is bigger in the mining UWB high accuracy position system. This paper proposes a maximum likelihood TOA estimation algorithm based on multi-carrier time-frequency iteration by rationally distributing the underground wireless base stations to conform a suitable searching step length and find the exact TOA approximation estimation to the signal via fractional delay iterated to narrow the estimation error. The result shows that the time frequency iteration TOA estimation has a faster rate of convergence than the non-iteration algorithm.