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AD7862 датащи(PDF) 12 Page - Analog Devices |
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AD7862 датащи(HTML) 12 Page - Analog Devices |
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12 / 16 page ![]() AD7862 –12– REV. 0 Intermodulation Distortion With inputs consisting of sine waves at two frequencies, fa and fb, any active device with nonlinearities will create distortion products at sum and difference frequencies of mfa ± nfb where m, n = 0, 1, 2, 3 . . ., etc. Intermodulation terms are those for which neither m or n are equal to zero. For example, the second order terms include (fa + fb) and (fa – fb) while the third order terms include (2 fa + fb), (2 fa – fb), (fa + 2 fb) and (fa – 2 fb). Using the CCIF standard where two input frequencies near the top end of the input bandwidth are used, the second and third order terms are of different significance. The second order terms are usually distanced in frequency from the original sine waves while the third order terms are usually at a frequency close to the input frequencies. As a result, the second and third order terms are specified separately. The calculation of the inter- modulation distortion is as per the THD specification where it is the ratio of the rms sum of the individual distortion products to the rms amplitude of the fundamental expressed in dBs. In this case the input consists of two, equal amplitude, low distortion sine waves. Figure 11 shows a typical IMD plot for the AD7862. –0 –120 0 12.3k 10k 30k 50k 70k 90k –20 –40 –60 –80 –100 –10 –30 –50 –70 –90 –110 100k INPUT FREQUENCIES F1 = 50010 Hz F2 = 49110 Hz FSAMPLE = 245760 Hz SNR = –60.62dB THD = –89.22dB IMD: 2ND ORDER TERM –88.44 dB 3RD ORDER TERM –66.20 dB Figure 11. AD7862 IMD Plot Peak Harmonic or Spurious Noise Harmonic or spurious noise is defined as the ratio of the rms value of the next largest component in the ADC output spec- trum (up to fS/2 and excluding dc) to the rms value of the fundamental. Normally, the value of this specification will be determined by the largest harmonic in the spectrum, but for parts where the harmonics are buried in the noise floor, the peak will be a noise peak. AC Linearity Plot When a sine wave of specified frequency is applied to the VIN input of the AD7862, and several million samples are taken, a histogram showing the frequency of occurrence of each of the 4096 ADC codes can be generated. From this histogram data, it is possible to generate an ac integral linearity plot as shown in Figure 12. This shows very good integral linearity performance from the AD7862 at an input frequency of 10 kHz. The absence of large spikes in the plot shows good differential linearity. Sim- plified versions of the formulas used are outlined below. INL(i ) = Vi ()−Vo()× 4096 () Vf S ()−Vo() − i where INL(i) is the integral linearity at code i. V(fS) and V(o) are the estimated full-scale and offset transitions, and V(i) is the estimated transition for the i th code. V(i), the estimated code transition point is derived as follows: V (i ) =− A × Cos π× cum i () N where A is the peak signal amplitude, N is the number of histogram samples and cum i () = Vn() n =0 i ∑ occurrences 0 –0.1 –0.2 –0.3 –0.4 –0.5 0.5 0.4 0.3 0.2 0.1 LSB FIN = 10 kHz FIN = 245.760 kHz TA = 25°C Figure 12. AD7862 AC INL Plot Power Considerations In the automatic power-down mode the part may be operated at a sample rate that is considerably less than 200 kHz. In this case, the power consumption will be reduced and will depend on the sample rate. Figure 13 shows a graph of the power consumption versus sampling rates from 100 Hz to 90 kHz in the automatic power-down mode. The conditions are 5 V supply 25 °C, and the data was read after conversion. 0.1 90 10 20 30 40 0 25 20 15 10 35 30 40 5 FREQUENCY – kHz 50 60 70 80 Figure 13. Power vs. Sample Rate in Auto Power-Down Mode |
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