Single code element rate sampling method applied to high-speed transmission and based on prior filtering

Abstract

The invention provides a prior filtering-based single code element rate sampling method applied to high-speed transmission, which is applied to the technical field of satellite communication and signal processing, and is characterized in that receiver equipment is satellite equipment or ground equipment, and the receiver equipment comprises an analog-to-digital conversion chip and a digital processing chip. The analog-to-digital conversion chip processes the received time domain continuous signal to obtain a first sampling signal; the first sampling signal corresponds to a first sampling frequency, and the first sampling frequency is a single code element rate; the analog-to-digital conversion chip sends the first sampling signal to the digital processing chip; the digital processing chip calculates an interpolation value of each interpolation moment according to the first sampling signal, and combines the first sampling signal and the interpolation value into a second sampling signal according to the interpolation moment; wherein the second sampling frequency corresponding to the second sampling signal is two times of the code element rate. According to the method, the requirement for the sampling rate of the analog-to-digital conversion chip can be reduced, and the power consumption of the analog-to-digital conversion chip can be reduced.

Description

technical field [0001] The present disclosure relates to the technical field of satellite communication and signal processing, and in particular, to a single symbol rate sampling method based on a priori filtering applied to high-speed transmission. Background technique [0002] Nyquist sampling theorem is one of the basic laws that need to be observed in the field of communication and signal processing. Nyquist sampling theorem includes: sampling frequency f s Greater than the highest frequency f corresponding to the time domain signal max 2 times of , i.e. f s >=2f max The discrete signal after time sampling can completely retain the information in the time domain signal without causing spectral aliasing. When the sampling frequency does not satisfy the Nyquist sampling theorem, spectrum aliasing will occur, affecting subsequent channel compensation, spectrum display, clock recovery and other functions. [0003] When the symbol rate to be achieved is relatively hig...

AI Technical Summary

Problems solved by technology

When the sampling frequency does not meet the Nyquist sampling theorem, spectrum aliasing will occur, which will affect subsequent functions such as channel compensation, spectrum display, and clock recovery.

[0003] When the symbol rate that needs to be achieved is high, the inability to obtain a suitable analog-to-digital conversion chip is a technical problem that needs to be solved

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