一种参数途径的自适应时延估计方法

A Parameter Approach to Adaptive Time Delay Estimation

时差定位应用中,需要首先对2个分开的传感器侦收的来波信号进行离散采样,然后估计时差。时差通常不是采样间隔的整数倍,导致常用时差估计方法的估计误差值可能达到0.5倍采样间隔。研究人员常用插值运算减小估计误差,但运算量较大。参数途径时延估计方法可以直接估计非整数倍采样间隔的时差,且不需要插值运算,运算量较小。应用(LMS)算法来实现参数途径时延估计方法,通过理论推导给出了时延估计的方法和步骤。计算机仿真验证表明了新方法的有效性和正确性。

In the application of TDOA orientation,the received signal at two separate sensors needs to be sampled first,then TDOA is estimated.The TDOA is always not integer times of sampling interval,therefore the error of Time Delay Estimation （TDE） is less than or equal to 0.5 times of sampling interval.Scholars usually make use of interpolation operation to reduce the error,but the computation burden is large.The parameter approach to TDE can directly estimate TDOA that is not integer times of sampling interval.The merit is that it does not need interpolation computation,and the computation burden is small.We realize a parameter approach to TDE by LMS algorithm,and present the realized method and steps by theoretical deducing.Computer simulation results verify that the proposed method is efficient and correct.