Research And Implementation Of Dual Channel Differential TDR Waveform Processing Technology

At present,high speed,high frequency and high density have become an important trend in the development of electronic circuits.The clock and frequency of the signal are getting higher and higher,the bandwidth of the signal has entered the nanosecond level to the picosecond level,and the signal frequency band has entered the THz level from the GHz level.In high-speed circuits,factors such as increased signal frequency,reduced rise time,reduced swing,unsatisfactory interconnection channels,poor power supply environment,and inconsistent delays between channels may cause signal mismatch and signal distortion during transmission.The outstanding problems caused by this have become a key factor in the success or failure of the design of weaponry electronic systems.Therefore,it is necessary to establish effective modeling and simulation methods and testing techniques,and to provide powerful product testing methods and equipment.This subject is aimed at the above problems,starting with the waveform processing technology of the dual-channel differential TDR characteristic impedance analyzer,focusing on the research and implementation of the time base drift compensation algorithm,time base jitter compensation algorithm,and signal reconstruction based on the anti-roll base algorithm.The specific research contents of this paper are as follows:First,study the time base drift compensation technology.First,the cross-correlation method and the proportional method used to suppress drift errors and their advantages and disadvantages are analyzed from a theoretical perspective.It is found that the computational complexity and difficulty of implementation of the proportional method are lower than the cross-correlation method.Secondly,multiple sets of experimental data containing time base drift were collected by Tektronix oscilloscope DSA8200,and the two compensation methods were experimentally verified using matlab software,and it was found that the proportional method and the cross-correlation method both performed well for time base drift compensation The effect,and the proportional method is slightly better than the cross-correlation method.Second,study time-based jitter compensation technology.First of all,the theoretical study of the deconvolution method used to suppress the time base jitter error is found.It is found that the actual sampled signal is equal to the convolution of the ideal sampled signal and the probability density function.The product method finds the ideal sample signal.Secondly,multiple sets of experimental data containing time base jitter were collected by Tektronix oscilloscope DSA8200,and the effect of deconvolution method to suppress time base jitter was experimentally verified.The experimental simulation results of matlab found that the deconvolution method can be to a certain extent Reduce the influence of time base jitter error.Third,study the signal reconstruction based on the deconvolution algorithm.In this paper,on the basis of using the waveform algorithm alone to process time base jitter and time base drift,it is proposed whether the deconvolution algorithm can restore the real signal in the form of signal reconstruction,thereby suppressing both time base drift and time base jitter errors This hypothesis,and verified the feasibility of this method through the form of experimental simulation.This is also the innovation of this thesis work.Fourth,the real-time drift detection function has been added to the test software of the dual-channel differential TDR characteristic impedance analyzer.In order to be able to better detect whether the system has drifted,so that the TDR instrument can be compensated in real time in time.At the end of this thesis,the dual-channel differential TDR characteristic impedance analyzer is tested and analyzed.