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SPC560D40L1 bảng dữ liệu(PDF) 66 Page - STMicroelectronics |
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SPC560D40L1 bảng dữ liệu(HTML) 66 Page - STMicroelectronics |
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66 / 90 page ![]() Electrical characteristics SPC560D30x, SPC56040Dx 66/90 Doc ID 16315 Rev 7 Equation 10 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 anti-aliasing. Figure 15. 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: V A2 C S C P1 C P2 C F ++ + V A C F V A1 +C P1 C P2 +C S + = 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 V A2 V A ------------ C P1 C P2 +C F + C P1 C P2 +C F C S ++ -------------------------------------------------------- = |
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