A three-point correlation waveform smoothing method based on high-speed sampling data

Abstract

The present invention proposes a three-point correlation waveform smoothing method based on high-speed sampling data, starting from the consideration of the correlation between the three sampling points of continuous sampling, using the theoretical principle of the predictability of the change trend between continuous sampling data, Perform high-speed sampling data error discrimination and error correction processing, so that the sampling error falls back to the normal and ideal trend range, thereby improving the acquisition effect and the quality of signal processing. The method of the invention performs processing from software analysis, reduces the requirement of the high-speed sampling system on the hardware environment, and greatly saves hardware debugging, personnel expenses, resource consumption and the like. Since the focus is on the data processing after sampling, the path of the interference source is not concerned, and the dependence on the hardware environment is also reduced, which makes the applicability of the method stronger, the scope of application wider, and the universality stronger. At the same time, the method of debugging through software parameters also makes the means of digital signal processing convenient and flexible, saving time and effort.

Description

Technical field [0001] The present invention relates to the field of digital signal processing, in particular to a method for smoothing sampling waveforms based on data correlation of three consecutive sampling points of high-speed sampling data. Background technique [0002] Under ideal working conditions, the periodic sine wave analog signal should also be an ideal sine wave waveform after sampling. However, in the actual working environment, it is interfered by factors such as power supply, other onboard signals, and space electromagnetic radiation, especially at high speeds. In the case of sampling, the collected signal waveform is often not exactly the same as the theoretical sine wave, and sometimes the difference is large, so that the signal quality of the analog signal is reduced after the sampling process, and the signal analysis effect is reduced. [0003] After debugging and improving the circuit board hardware and optimizing the FPGA signal processing program, the wavef...

AI Technical Summary

Problems solved by technology

[0006] Usually, in the case of unsatisfactory sampling, the test and analysis of the hardware environment will be carried out first, and efforts will be made to find the interference paths and sources that affect signal sampling, and some measures will be implemented to reduce the impact of interference. However, it is difficult to do it through hardware debugging. to completely eliminate interference

After the hardware environment reaches a certain level of debugging, it will not be able to further improve

At the same time, the improvement of the hardware environment needs to increase the cost of manpower, time, and hardware resources to a certain extent, and in many cases, due to different environments, the results of one debugging do not meet the general requirements of multiple environments.

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