A Random Time Equivalent Sampling System

Abstract

The invention discloses a random time equivalent sampling system, which performs serial-to-parallel conversion on the sampling data obtained in a single acquisition and buffers them, and measures the time interval between the trigger signal and the following first follow-up clock , the obtained pulse signal is stretched and measured by the pulse measurement module to obtain the measured value, and the starting storage unit serial number of the sampling data is calculated according to the measured value, and then the waveform reconstruction RAM reads the cached data, and the read data is first After parallel-to-serial conversion, calculate the storage unit serial number corresponding to each sampling point according to the initial storage unit serial number and the equivalent sampling multiple, and store the sampling data this time; when the batch of sampling data reaches the equivalent sampling times, the waveform The data stored in the reconstructed RAM is output as equivalent sampling data. Compared with software implementation, the invention has high data rearrangement efficiency and fast waveform recovery speed, thereby improving the waveform refresh rate in the equivalent sampling mode of the oscilloscope.

Description

technical field [0001] The invention belongs to the technical field of sampling, and more specifically relates to a random time equivalent sampling system. Background technique [0002] Digital storage oscilloscope is one of the main instruments for testing and analyzing signals, and it is widely used in many industries such as information communication, high-energy physics, and medical electronics. The main working principle of the digital storage oscilloscope is that the signal conditioning circuit adjusts the input signal to the best input range of the analog-to-digital converter (ADC), the ADC collects and quantifies the analog input signal, and the Field-Programmable Gate Array (FPGA) ) to control memory access to data according to trigger conditions. Due to the limitation of the ADC sampling rate and the Nyquist sampling theorem, the signal bandwidth that can be observed in the real-time sampling mode of the digital storage oscilloscope is very limited, and it is usua...

AI Technical Summary

Problems solved by technology

Due to the limitation of the main controller bus rate and operation rate, especially when the equivalent sampling ratio is large, the software needs to spend a lot of time to reconstruct the waveform, which leads to a long dead time in the equivalent sampling mode of the oscilloscope, and the waveform The refresh rate is reduced, it is not sensitive to signal changes, and the practicability is not strong

Images