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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。
Based on the rational layout of downhole wireless network base station, a maximum likelihood TOA (time of arrival) estimation algorithm based on multi-carrier time-frequency iteration is proposed. The estimation error is reduced by iteratively increasing the fractional delay to determine the appropriate search step Long, to achieve accurate TOA signal estimation. The simulation results show that the maximum likelihood TOA estimation algorithm of time-frequency iteration has a faster convergence rate. When the SNR is small, the maximum likelihood TOA estimation algorithm using time-frequency iteration improves the estimation accuracy more effectively than the classical TOA estimation algorithm .