Sampling device and sampling method based on parallel processing

Abstract

The invention discloses a sampling device and a sampling method based on parallel processing. The sampling method includes: receiving the input signal, tracking the input signal in each cycle of the first sampling clock, and maintaining the output as a sampling waveform consistent with the input signal; receiving the output signal in each cycle of the first sampling clock through multiple channels Sampling waveforms, controlling multiple channels to track the sampling waveforms in each cycle of the second sampling clock, and respectively maintaining the output as sampling waveforms, wherein, multiple second sampling clocks drive one channel respectively, and multiple second sampling clocks The frequencies are equal and the sum of the frequencies is equal to the frequency of the first sampling clock, and the phases of multiple second sampling clocks are sequentially staggered by one cycle of the first sampling clock; data fusion is performed on the sampling waveforms output by multiple channels to obtain the first sampling clock Broadband sampling signal with consistent clock frequency. The invention can suppress the non-uniform error generated in the parallel sampling process before the signal sampling is completed.

Description

technical field [0001] The invention relates to the technical field of signal sampling, in particular to a sampling device and a sampling method based on parallel processing. Background technique [0002] In the current broadband receiving system, IBW (instantaneous bandwidth, Instantaneous Bandwidth) and DR (dynamic range, dynamic range) have gradually become the bottleneck of signal reception. And ADC (Analog to Digital Converter, Analog to Digital Converter) as the core device of broadband reception, its technological level has become the main factor limiting the technical indicators of IBW and DR. When the technical indicators of the ADC cannot be improved, frequency band folding sampling, compressed sampling, and single-bit sampling have become the main means to expand the signal acquisition bandwidth. However, frequency band folding sampling will make the RF channel more complex and lose system sensitivity; compressed sampling requires the signal to have corresponding...

AI Technical Summary

Problems solved by technology

Although this type of method has a relatively good compensation effect on system non-uniform errors, it requires more calculations and occupies more processing resources, which has a greater impact on the real-time performance of the sampling system. The more important problem is that non-uniform Uniform error compensation is carried out on the premise that the signal sampling has been completed. It only corrects and compensates the sampling data with errors, and fails to fundamentally solve the non-uniform error that will be generated during the parallel sampling process of multiple ADCs. problem, the fidelity of the sampled signal will still be affected by non-uniform errors

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