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    • 摘要: 本文对非正交光栅莫尔信号细分方法展开研究,提出了基于信号采集、预处理和细分架构的非正交光栅莫尔信号数字细分的方案,在FPGA平台上完成32 512倍信号细分。针对电路系统中信号幅值比和采样率参数进行分析,建立了莫尔信号幅值偏差的数学模型,明确信号幅值比k与周期细分数N的量化关系,实验证明,信号幅值偏差补偿要求随细分值增加而逐渐增高。建立了信号频率/采样率的数学模型,明确信号频率与采样率之比f/fs与周期细分数N的量化关系,实验证明,信号频率与采样率之比随细分值增加而逐渐降低。

       

      Abstract: A subdividing method for non-orthogonal grating moiré signals is studied, and a circuit scheme of the non-orthogonal grating moiré signal digital subdividing system is proposed based on signal sampling, pre-processing, and subdivision structure to complete 32~512 times signal subdivision on the FPGA platform. Analysis is made of signal amplitude ratio and sampling rate, and two factors in the circuitry. A model of signal amplitude deviance is constructed, and the quantitative relation is established between signal amplitude ratio k and subdivision value N. Test results suggest that required compensation for signal amplitude deviance becomes higher steadily when the subdivision value N grows. A model of signal frequency/sampling frequency is constructed, and the quantitative relation is established between the quotient of signal frequency and sampling frequency f/fs and subdivision value N. Test results suggest that required sampling frequency becomes lower steadily when the subdivision value N grows.