Variable symbol rate timing recovery method and system based on Gardner algorithm

Abstract

The invention provides a variable symbol rate timing recovery method based on a Gardner algorithm, which is characterized in that the method comprises the steps of: achieving variable symbol rate timing recovery based on a timing recovery system, arranging an interpolation estimator in the timing recovery system, and performing down-conversion and filtering processing on an intermediate frequency signal received by a signal receiver to obtain a baseband I signal and a baseband Q signal; carrying out interpolation on baseband I and Q signals by utilizing a sampling judgment condition generated by an interpolation estimator; obtaining a timing error by using a Gardner algorithm module under the triggering of a peak value moment and a transition value moment generated by the interpolation estimator; and performing loop filtering on the timing error, and updating a sampling judgment condition and a peak moment and a transition moment generated by the interpolation estimator by using the interpolation estimator. According to the method, improvement is carried out on the basis of traditional Gardner timing error detection, the problem that the symbol rate and the sampling rate of a receiving end in communication are not matched is solved, and timing recovery of an accurate sampling clock can be obtained for signals of any symbol rate under the condition that the sampling rate is not changed.

Description

technical field [0001] The invention belongs to the technical field of signal demodulation, and in particular relates to an improved Gardner error checking algorithm, which can obtain a timing recovery scheme for accurate sampling clocks under any symbol rate. Background technique [0002] Modern communication has already entered the digital age in an all-round way, and digital communication systems are developing rapidly. Digital communication systems refer to systems that use digital signals to transmit information. The general model of a digital communication system is that the source sends information, passes through the encoder, and then the modulator shifts the spectrum of the transmitted signal to a high frequency to form a band-pass signal suitable for transmission in the channel, which is transmitted through the channel, and then at the receiving end The demodulator is required to demodulate the modulated signal, and then go through the decoder to reach the sink par...

AI Technical Summary

Problems solved by technology

However, in digital communication, the relationship between the symbol rate and the sampling rate cannot be an integer multiple every time, and in the actual working system, the sampling rate is often not easy to change, but the symbol rate is often changed. The traditional Gardner Timing error detection algorithm is difficult to meet the demand

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