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SPC560P54x 数据表(PDF) 79 Page - STMicroelectronics

部件名 SPC560P54x
功能描述  32-bit Power Architecture® based MCU with 1088KB Flash memory and 80KB RAM for automotive chassis and safety applications
PDF  105 Pages
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制造商  STMICROELECTRONICS [STMicroelectronics]
网页  http://www.st.com
标志 STMICROELECTRONICS - STMicroelectronics

SPC560P54x 数据表(HTML) 79 Page - STMicroelectronics

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SPC56xP54x, SPC56xP60x
Electrical characteristics
104
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 anti-aliasing.
Figure 19. 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 11 between the ideal and real sampled voltage on CS:
Equation 11
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:
Equation 12
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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