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LTC2415-1IGN Datasheet(PDF) 32 Page - Linear Technology |
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LTC2415-1IGN Datasheet(HTML) 32 Page - Linear Technology |
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32 / 40 page ![]() LTC2415/LTC2415-1 32 sn2415 24151fs APPLICATIO S I FOR ATIO FREQUENCY AT VIN (Hz) 1 –120 –100 –80 –60 –40 –20 0 50 100 150 200 2415 F30 250 VCC = 5V VREF = 5V VIN = 2.5V FO = 0 INPUT FREQUENCY 0 –60 –40 0 2415 F31 –80 –100 fS/2 fS –120 –140 –20 INPUT FREQUENCY DEVIATION FROM NOTCH FREQUENCY (%) –12 –8 –4 048 12 2415 F32 –60 –70 –80 –90 –100 –110 –120 –130 –140 48 50 52 54 56 58 60 62 DIFFERENTIAL INPUT SIGNAL FREQUENCY (Hz) 2415 F33 –80 –90 –100 –100 –120 –130 –140 INPUT FREQUENCY (Hz) 0 20 40 60 80 100 120 140 160 180 200 220 2415 F34 0 –20 –40 –60 –80 –100 –120 VCC = 5V REF+ = 5V REF – = GND VINCM = 2.5V VIN(P-P) = 5V TA = 25°C MEASURED DATA CALCULATED DATA Figure 34. Input Normal Mode Rejection vs Input Frequency with Input Perturbation of 100% of Full Scale Figure 30. Rejection vs Frequency at VIN Figure 31. Rejection vs Frequency at VIN Figure 32. Rejection vs Frequency at VIN Figure 33. Normal Mode Rejection when Using an Internal Oscillator Normal Mode Rejection, Output Rate and Running Averages The LTC2415/LTC2415-1 both contain an identical Sinc4 digital filter (see Figures 30 and 31) which offers excellent line frequency noise rejection. For the LTC2415, a notch frequency of either 50Hz or 60Hz (see Figure 32) is user selectable by tying pin FO high or Low, respectively. On the other hand, the LTC2415-1 offers simultaneous rejection of 50Hz and 60Hz by tying FO low. This sets the notch frequency to approximately 55Hz (see Figure 32). At a notch frequency of 55Hz, the LTC2415-1 rejects 50Hz ±2% and 60Hz ±2% better than 72dB. In order to achieve better than 87dB rejection of both 50Hz and 60Hz ±2%, a running average can be performed. By averaging two consecutive ADC readings, a Sinc1 notch is combined with the Sinc4 digital filter yielding the frequency response shown in Figures 33 and 34. In order to preserve the 2 × output rate, adjacent results are averaged with the follow- ing algorithm: Result 1 = average (sample 0, sample 1) Result 2 = average (sample 1, sample 2) Result 3 = average (sample 2, sample 3) … Result N = average (sample n-1, sample n) |
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