Optimization And Realization Of High-precision ADC Parameter Test Algorithm

ADC(Analog-to-Digital Converter,analog-to-digital converter)as a necessary device for analog signal and digital signal conversion,its importance in integrated circuit systems is self-evident.With the development of ADCs in the direction of high precision,it is increasingly difficult for test equipment to meet the strict high-precision requirements of the IEEE 1241 standard.Therefore,it is of great significance to study ADC parameter test algorithms under non-standard test conditions.This subject conducts in-depth research and analysis on the situation where the ADC test output signal has spectrum leakage,harmonic distortion and a large amount of spurious distortion.First,three classic ADC test algorithms are implemented: FIRE algorithm,trigonometric function solving method and zero-crossing point fitting method.Then,based on the limitations of traditional and classic test methods,two improved algorithms are proposed: one solves the problem of spectrum leakage and harmonic distortion at the output,and the other solves the problem of spectrum leakage and a large amount of spurious distortion at the output.A large number of simulation experiments and AD9268 measured data are used to verify the effectiveness of the algorithm.The specific tasks of this article are:1.Researched the ADC performance test process and three classic ADC parameter test algorithms.Based on the IEEE 1241 standard,the test algorithms for ADC static parameters and dynamic parameters are introduced,and the shortcomings of traditional test methods are analyzed.In order to solve the problem of incoherent sampling and signal clipping,three classic ADC parameter test algorithms are implemented,and the advantages and disadvantages of each algorithm are summarized and analyzed based on simulation2.Proposed the second estimation algorithm of fundamental harmonics.Under the test conditions where incoherent sampling and harmonic distortion exist at the same time,the algorithm achieves accurate testing of ADC dynamic parameters by performing two alternate estimation,reconstruction and replacement operations on the fundamental and harmonics.At the same time,the specific operation flow of the algorithm is designed and implemented.3.Proposed clipping recognition and replacement algorithm.This algorithm can accurately identify and replace clipping when the signal over-range input and incoherent sampling exist at the same time,and realize the dynamic and static parameters of the ADC.Test accurately.At the same time,the specific operation flow of the algorithm is designed and implemented.4.Perform simulation experiments and comparative analysis on the two algorithms proposed above.Through software simulation experiments,it is verified that under the premise of incoherent sampling,the above two algorithms can deal with harmonic distortion and signal clipping,respectively,which shows the effectiveness of the algorithm.At the same time,the comparison experiment with the classic ADC test algorithm shows that the two algorithms proposed in this paper have wider adaptability and superior performance.5.Conduct actual measurement analysis and software platform implementation.The93000 ADC test platform is used for data acquisition,and the algorithm proposed in this paper is used for actual measurement data processing and analysis.Experiments show that the algorithm proposed in this paper can achieve accurate testing of ADC parameters under loose test conditions,which provides effective support for theoretical analysis.At the same time,the software was designed with Lab Windows/CVI software.