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B.2.2 Second-Order Loop

Figure B.4: Second-order sigma-delta converter (noise model)
\includegraphics[scale=1.0]{sigdlt-n.ps}

Similar expressions as above can be derived for a second-order converter shown in Fig. B.2, based on the model shown in Fig. B.4. In this case a second source of error (e1) originating from the non-linearities of the first integrator. The unfiltered output Y(s) is then

\begin{displaymath}
\renewcommand{\arraystretch}{2.0}
{
\begin{array}{rcl}
Y(...
...playstyle\frac{X(s)}{1+a s\tau_0+(s\tau_0)^2}}
\end{array}}.
\end{displaymath} (B.8)

Ideally, if e1 = 0, the noise power spectral density would be proportional to $(s\tau_0)^2$, which should result in a much better SNR if the converter is properly designed.






G. Schrom