Fast adaptive joint time delay estimation method

Abstract

The present invention relates to a fast adaptive joint time delay estimation method. The method includes the following steps that: filter output signals of the k-th iteration of the i-th path of signals are calculated according to the time delay estimation quantity of current iteration; synthesized reference signals of the k-th iteration are calculated according to various paths of output signals; the error signals of the k-th iteration are calculated according to the output signals of the k-th iteration and the synthesized reference signals of the k-th iteration; the power of the error signals is calculated, and an obtained calculation result is compared with a threshold value; when the power of the error signals is smaller than the threshold value, the step length of the k-th iteration is directly obtained according to the number of the times of iteration, and the time delay estimation quantity of the (k+1)-th iteration of the i-th path of signals is obtained according to the step length of the k-th iteration; and the time delay of the i-th path of signals is aligned with the average time delay of various paths of signals, so that the time delay estimation quantity of the (k+1)-th iteration of the i-th path of signals can be obtained. With the method of the invention adopted, smaller time delay estimation variance can be obtained under a fast convergence condition.

Description

technical field [0001] The invention relates to a time delay estimation method, in particular to a fast adaptive joint time delay estimation method. Background technique [0002] Time delay is an important parameter to characterize a signal. Accurately and rapidly estimating the time delay between homologous signals received by the receiving array can further determine other related parameters, such as the distance, orientation, speed and moving direction of the source, etc. . Therefore, time delay estimation has become a very active research topic in the field of signal processing in recent years. application. [0003] The basic principle of time delay estimation is to shift two or more signals, and find the shift position with the highest similarity as the time delay estimation value. The main methods include basic cross-correlation method, generalized cross-correlation method, corresponding frequency domain realization algorithm and high-order cumulant method, etc. Am...

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Problems solved by technology

[0045] In the article "An Lms adaptive algorithm with a new step-size control equation" published by K.Mayyas et al., a variable step size least mean square (Variable StepSize Least Mean Square, KVSSLMS) algorithm based on the minimum weighting coefficient is proposed for Accelerate algorithm convergence, but this method is susceptible to noise interference

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