基于定时信息加权的时差估计方法研究

Method of TDOA Estimation Based on Timing Information Weighting

时差估计问题作为参数提取问题的重要组成部分,一直是信号处理领域研究的热点。针对两路信号模型下的时差估计问题展开研究,利用数字通信信号所具有的逐符号信息传输的特点,提出一种基于定时信息加权的时差估计方法。通过对信号定时信息提取和广义互相关处理构建关于时差估计的信号模型,最终给出时差估计的最小二乘解。仿真结果表明,该算法较经典的广义互相关法具有更好的估计性能,其性能改善在低信噪比下尤为明显。

TDOA estimation has been a research hotspot of signal processing as an important part of the parameter extraction problem. This paper is concerned with the TDOA estimation of two-way signal models,and a new estimation is proposed based on timing information weighting for the characteristics of the digital communication signals whose message is transmitted symbol by symbol. Building the model of TDOA estimation by means of the extraction of timing information and generalized cross-correlation（ GCC）,the estimation is derived by method of least square. The simulation results demonstrate that the estimation performance of the algorithm is better than GCC,especially at low SNR levels.