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Section 5.3

Data Conversion

Analogue and digital data; operation and application of analogue-to-digital and digital-to-analogue converters; resolution, quantisation error, sampling and the limits they impose.

Notes

Data conversion, summary notes

Main ideas
  • Aircraft sensors are overwhelmingly analogue (a synchro angle, a thermocouple millivolt, a pressure transducer output) while the computers that use them are digital, so analogue-to-digital converters (ADCs) sit at the input and digital-to-analogue converters (DACs) at the output.
  • An n-bit converter resolves 2ⁿ discrete levels. Adding one bit doubles the number of levels and halves the step size, resolution improves, quantisation error falls.
  • Quantisation error is the rounding error inherent in representing a continuous value by the nearest step. It is bounded by ± half a step, and it can be reduced but never eliminated.
  • Sampling must be fast enough to represent the signal: the sampling rate must exceed twice the highest frequency present (the Nyquist criterion), otherwise aliasing produces a false low-frequency signal that no downstream processing can remove.
  • Conversion time (aperture) matters, a converter that is too slow smears fast-changing inputs. Successive-approximation ADCs are the common aviation compromise between speed and complexity.
  • ⚠ Exam trap: resolution is set by the NUMBER OF BITS and the full-scale range, not by the sampling rate. More bits = finer steps; a faster clock only means more samples per second.
Key formulas
Number of levels
levels = 2ⁿ
Resolution / step size
Δ = full-scale range ÷ 2ⁿ
Maximum quantisation error
± Δ ÷ 2
Nyquist criterion
fₛₐₘₚₗₑ > 2 × f𝗆ₐₓ
Solved examples
  1. An 8-bit ADC spans 0-10 V. Find the number of levels, the resolution and the worst-case quantisation error.

    Levels = 2⁸ = 256. Resolution = 10 V ÷ 256 ≈ 0.039 V, i.e. about 39 mV per step. The maximum quantisation error is half a step, roughly ±19.5 mV.

  2. The same 0-10 V range is converted by a 12-bit ADC instead. What changes?

    Levels = 2¹² = 4096, so resolution = 10 V ÷ 4096 ≈ 2.4 mV, sixteen times finer than the 8-bit converter, because four extra bits multiply the level count by 2⁴ = 16. The full-scale range is unchanged.

Simulation

ADC resolution & quantisation

ADC Resolution & QuantisationFull screen ↗
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Mind map

Data conversion concept map

Data Conversion

Quiz

Data conversion quiz

Data Conversion, quiz

Ref 5.310 of 15Pass 75%
  1. 1. The figure shows a smooth analogue signal and the stepped output of a converter. The steps arise because:

    analogue (blue) and quantised (amber)
    The converter can only output discrete levels
    The signal is being amplified
    The sampling rate is above Nyquist
  2. 2. An analogue to digital converter has a resolution of 8 bits. The number of discrete levels it can represent is:

    256
    8
    128
  3. 3. A 12-bit analogue to digital converter can represent how many discrete levels?

    4096
    144
    1024
  4. 4. An 8-bit converter covers an input range of 0 to 10 V. Its resolution is approximately:

    39 mV
    1.25 V
    390 mV
  5. 5. According to the sampling theorem, an analogue signal containing frequencies up to 4 kHz must be sampled at a rate of at least:

    8 kHz
    4 kHz
    2 kHz
  6. 6. An 8-bit converter can resolve how many discrete levels?

    256
    128
    512
  7. 7. A 10-bit ADC spans 0-5 V. Its resolution is approximately:

    4.9 mV
    49 mV
    0.5 mV
  8. 8. Adding one bit to an ADC of a fixed input range:

    Halves the step size
    Doubles the step size
    Leaves the step size unchanged
  9. 9. The maximum quantisation error of a converter is:

    Half of one step
    One full step
    Two steps
  10. 10. A DAC is fitted at a system's output in order to:

    Turn digital values into an analogue drive signal
    Turn a sensor voltage into digital data
    Filter the supply rail