摘要
在噪声理论的基础上,论证了过采样方法可以实现使用低分辨率的ADC完成高分辨率的数据采集.并对过采样方法作了理论上的探索.有非常多的因素影响ADC的转换结果,如:热噪声、杂色噪声、电源噪声、参考电压波动、时钟不稳定以及量化误差等.这些噪声的噪声功率是可以变化的,设计中可以通过多种措施来减小噪声,过采样技术会减小量化误差和获得与高分辨率ADC相同的信噪比,以增加被测数据的有效位数,从而提高ADC的分辨率.这要求被测信号中的噪声为白噪声或至少接近白噪声.实验证明,过采样技术能在一定范围内提高ADC的有效位数.
It is argued theoretically that over-sampling approach can increase the resolution of ADC without resorting to the expensive off-chip ADC based on the noise theory. There exist many factors to influence the ADC result such as thermoelectric noise, sundry noise, power noise, reference voltage waving, clock waving, etc. The above noise power varies in practical environment, and in design, appropriate measures must be adopted to decrease the noise. Over-sampling and averaging can decrease sample error and obtain the same signal-to-noise ratio with high AI）C resolution. The noise in the measured signal is constrained to ＂white＂ noise or at least nearby ＂white＂ noise. Experiments prove that over-sampling technique is really valid for increasing the effective bits of ADC in a certain extent.
出处
《沈阳工业大学学报》
EI
CAS
2006年第2期137-139,共3页
Journal of Shenyang University of Technology
基金
辽宁省教育厅资助项目(202063304)
关键词
过采样
信噪比
分辨率
白噪声
数模转换器
over-sampling
signal-to-noise ratio
resolution
white noise
ADC
