Quick, high-precision doppler frequency deviation estimating method

Abstract

The invention is a fast, high-accuracy Doppler frequency bias estimating method for mobile communication system, utilizing unmodulated pilot fdop to compare with other auxiliary carrier frequency and adopting two CZT transforms in order; firstly making rough frequency bias estimation and then making fine frequency bias estimation, and by organic integration of the two frequency bias estimations, on the basis of finding rough estimated pilot value, reducing the searching range of the fine frequency bias estimation and increasing frequency resolution so as to obtain higher estimation accuracy on the premise of not increasing the operating quantity, implementing frequency bias estimation with high accuracy, high efficiency and large estimating range. By fast algorithm of CZT transform, it can largely shorten frequency bias estimating time, further increases frequency-domain detecting range and frequency resolution and obtains higher frequency bias estimating accuracy. And it is a frequency bias estimating method with strong practicality, able to be integrated in corresponding mobile communication system and implement high- efficiency and high-accuracy estimation on any Doppler frequency bias.

Description

technical field [0001] The present invention relates to a method for estimating Doppler frequency offset based on pilot signals, in particular to a method for estimating frequency offset with a large estimation range, high precision, fast calculation speed, and the estimation accuracy can be adjusted arbitrarily according to needs, belonging to The field of mobile communication technology. Background technique [0002] The channel involved in the mobile communication system is usually a multipath time-varying fading channel, and the amplitude and phase of the received signal will change randomly with time. Usually, the Doppler frequency deviation of the fading channel is used to reflect the speed of parameter change of the mobile communication transmission channel. The faster the mobile terminal moves, the larger the Doppler frequency deviation is, and the faster the channel parameter changes. In this case, in order to realize the coherent reception of signals in the mobile...

AI Technical Summary

Problems solved by technology

Due to the pilot-based coarse frequency estimation synchronization algorithm, the residual frequency offset after processing cannot meet the requirements of frequency offset estimation accuracy, and further fine synchronization processing is required; the pilot-based fine frequency estimation synchronization algorithm, although it can meet the requirements of frequency offset estimation Accuracy requirements, but can not meet the

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