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PPC5605BAMLL4R bảng dữ liệu(PDF) 80 Page - NXP Semiconductors

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Giải thích chi tiết về linh kiện  MPC5607B Microcontroller Data Sheet
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MPC5607B Microcontroller Data Sheet, Rev. 10
Electrical characteristics
NXP Semiconductors
80
Eqn. 11
The two transients above are not influenced by the voltage source that, due to the presence of the RFCF
filter, is not able to provide the extra charge to compensate the voltage drop on CS with respect to the ideal
source VA; the time constant RFCF of the filter is very high with respect to the sampling time (ts). The filter
is typically designed to act as antialiasing.
Figure 20. Spectral representation of input signal
Calling f0 the bandwidth of the source signal (and as a consequence the cut-off frequency of the
antialiasing 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 5 V), assuming to accept
a maximum error of half a count, a constraint is evident on CF value:
VA2 CS CP1 CP2 CF
++
+
()
•
VA CF
•
VA1
+CP1 CP2
+CS
+
()
•
=
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
VA2
VA
------------
CP1 CP2
+CF
+
CP1 CP2
+CF CS
++
--------------------------------------------------------
=



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