
MPC560xS Microcontroller Data Sheet, Rev. 2
Preliminary—Subject to Change Without Notice
Electrical Characteristics
Freescale Semiconductor
74
Figure 17. Spectral Representation of Input Signal
Calling f0 the bandwidth of the source signal (and as a consequence the cut-off frequency of the anti-aliasing filter, fF),
according to the Nyquist theorem the conversion rate fC must be at least 2f0; it means that the constant time of the filter is greater
than or at least equal to twice the conversion period (TC). Again the conversion period TC is longer than the sampling time TS,
which is just a portion of it, even when fixed channel continuous conversion mode is selected (fastest conversion rate at a
specific channel): in conclusion it is evident that the time constant of the filter RFCF is definitively much higher than the
sampling time TS, so the charge level on CS cannot be modified by the analog signal source during the time in which the
sampling switch is closed.
The considerations above lead to impose new constraints on the external circuit, to reduce the accuracy error due to the voltage
drop on CS; from the two charge balance equations above, it is simple to derive Equation 12 between the ideal and real sampled voltage on CS:
Eqn. 12
From this formula, in the worst case (when VA is maximum, that is for instance 5V), assuming to accept a maximum error of
half a count, a constraint is evident on CF value:
Eqn. 13
3.17.2
ADC Electrical Characteristics
NOTE
f0
f
Analog source bandwidth (VA)
f0
f
Sampled signal spectrum (fC = conversion rate)
fC
f
Anti-aliasing filter (fF = RC filter pole)
fF
2 f0 ≤ fC (Nyquist)
fF = f0 (anti-aliasing filtering condition)
TC ≤ 2 RFCF (conversion rate vs. filter pole)
Noise
VA
VA2
------------
CP1 CP2
+CF
+
CP1 CP2
+CF CS
++
--------------------------------------------------------
=
CF 2048 CS
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