【摘要】 码密度直方图法是模数转换器(ADC)静态参数测量的主要方法。该方法要求测试激励幅度略大于被测ADC的输入范围。测试激励幅度是影响测量结果精度的决定因素,受测量仪器精度的限制。针对如何定义测试激励幅度实现了"略大于"的问题,提出了一种判别测试激励幅度提高测量精度的方法。码密度直方图法要求采样频率与信号频率互质。码箱密度服从正态分布时可推导出码宽也服从正态分布。根据实验条件和测试要求,取定码宽的显著性水平α和误差精度β,计算码箱密度边界,从而判别施加的测试激励幅度。最后采用Matlab/Simulink模型库中通用的理想ADC模型和硬件实验验证了判别方法的有效性。更多还原

【Abstract】 Code density histogram test is a main method for the analog to digital converter( ADC)static linearity test. Such test requires the amplitude of the stimulation signal a little bigger than ADC full scale. The amplitude accuracy restricted by measuring instrument is the key factor for the test precision.A criterion method for the stimulation amplitude was proposed about how to define the "a little bigger".ADC histogram test required the sampling frequency to be relatively-prime to the signal frequency. The digital code density obeyed normal distribution,therefore the width of the code also obeyed normal distribution. According to the experiment condition and test requirement,code width significance coefficientα and error of code width β are graded to evaluate the boundary of each code to derive the amplitude.Idea-lized ADC quantizer model on Matlab Simulink and hardware experiment verifies the effectiveness of the simulation.更多还原