Information entropy-based digital storage oscilloscope vertical resolution improving method

Abstract

The invention discloses an information entropy-based digital storage oscilloscope vertical resolution improving method. The information entropy-based digital storage oscilloscope vertical resolution improving method includes the following steps that: as for over-sampled single acquisition signals, the probability and maximum entropy of each sample are estimated through adopting the maximum entropy principle; the uncertainties of the samples are calculated according to the probabilities of the samples, so that a confidence interval can be obtained; coarse quantization errors in the samples are eliminated according to the confidence interval; the fusion weight coefficient of data is calculated according to information quantity rate; data fusion is performed on effective samples according to the fusion weight coefficient; samples with coarse quantization errors are replaced by data fusion results, so that sample data can be reconstructed; and output samples can be obtained through adopting an average-based extraction algorithm. The information entropy-based digital storage oscilloscope vertical resolution improving method of the invention is used for improving the vertical resolution of a digital storage oscilloscope. Through the combination of the information entropy-based data fusion and the average-based extraction filtering algorithm, the information entropy-based digital storage oscilloscope vertical resolution improving method can improve the vertical resolution of the digital oscilloscope and the signal noise ratio of output signals and will not affect analog bandwidth under the actual sampling rate of the oscilloscope.

Description

technical field [0001] The invention belongs to the technical field of digital storage oscilloscopes, and more specifically relates to a method for improving the vertical resolution of digital storage oscilloscopes based on information entropy. Background technique [0002] Bandwidth, sampling rate and storage depth are the three core indicators commonly used to evaluate the performance of digital storage oscilloscopes. In addition, there is another very important indicator: vertical resolution. Higher vertical resolution means finer waveform display and more accurate signal measurement. The vertical resolution of a digital storage oscilloscope (DSO) depends on the number of quantization bits in the analog-to-digital converter (ADC), as well as the noise and distortion levels of the oscilloscope itself. Common oscilloscope products generally use 8-bit or 12-bit ADCs. When the number of quantization bits of the ADC is fixed, reducing noise becomes the key to providing highe...

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Problems solved by technology

In LUO ZH L, ZHANG Q J, FANG Q CH, Method of data fusion applied in intelligent instruments, Instrument Technique and Sensor, 3(1), 45-46(2002). According to the batch estimation theory of statistical theory, a Data fusion algorithm, which was improved in CAIF N, LIU Q X, Single sensor data fusion and analysis of effectiveness, Jouma1of Transducer Technology, 24(2), 73-74(2005). However, both algorithms Assuming that the data sample has the characteristics of a normal distribution, there are certain subjective assumptions

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