Electronic – Sampled Noise Amplitude

adcnoisenoise-spectral-density

I am trying to understand how an arbitrary noise spectrum is sampled by an ADC. Let the broadband noise floor be, for example, \$e_n\$ = 5nV/√Hz @ 1kHz and the 1/f noise be \$E_{1/f}\$ = 2 μV peak-peak integrated over 0.1 to 10 Hz (specified in the manner of most amplifier datasheets). If I make a single measurement of this noise (say with a ΣΔ ADC) the noise with an integration time T, what is the amplitude of uncertainty in my sample (neglecting quantization noise)?

Another way of posing this question; most ΣΔ ADCs appear to specify a peak-to-peak input-referred noise for a single measurement under various conditions (e.g filter mode, data rate, PGA gain, Vref, etc.). Given a known input noise spectrum as described above, how do I compute a noise amplitude to compare with the ADC input referred noise to know whether I can resolve my input noise in a given configuration?

If, for example, the sample interval is T=10μsec, would the sampled RMS amplitude just be \$e_n \sqrt{1/T}\$ = 1.6μV (assuming the 1/f noise is negligible at this BW)? Then if I average many just measurements the measurement improves by \$\sqrt{N}\$ which is equivalent to using a longer integration time \$NT\$?

EDIT: Also, what if I am making a precision DC measurment with a long integration time such that 1/f noise dominates? My 1/f noise spec only goes down to 0.1Hz so how do I estimate noise for integration times longer than 10 seconds? Do I need to extrapolate the 0.1 to 10 Hz noise amplitude to lower frequencies?

[Note that this question pertains to the mathematics of sampled noise not about the challenges in measuring this low noise level, the subtleties of particular ADC technologies, or low noise circuit layout.]

Best Answer

Another way of posing this question; most ΣΔ ADCs appear to specify a peak-to-peak input-referred noise for a single measurement under various conditions (e.g filter mode, data rate, PGA gain, Vref, etc.). Given a known input noise spectrum as described above, how do I compute a noise amplitude to compare with the ADC input referred noise to know whether I can resolve my input noise in a given configuration?

The easiest way to do this is to call the 1/f noise flat

enter image description here Source: https://www.edn.com/electronics-blogs/the-signal/4408242/1-f-Noise-the-flickering-candle-

Since we already know how to handle white noise sources, it's easier to work with them. For example with this amplifier I would draw a line at 10e-6 from 0.1 to 10Hz

enter image description here

There isn't a way (currently) to mathematically sample a 1/f noise distribution mathematically. Why? because 1/f noise is more like a random walk, and the noise values now depend on the previous noise values. A close approximation is to generate a white noise distribution and then filter it with a low pass filter.

There are ways to simulate 1/f noise, and you could match up the amplitude, as described in this paper: 1/f noise: a pedagogical review.

enter image description here

Figure 25: 1/f noise generated with the algorithm described in section 10, amplitude vs. time(both linear scales and arbitrary units); starting from top, = 0, 1, 1.5 and 2.

Sourced: Figure 25 1/f noise: a pedagogical review.

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