Noise charateristics in sensors

In summary, electronic noise in sensors is often Gaussian in nature, as seen in high frequency noise distributions. This is a common occurrence in various electronic devices such as transducers, ADC's, and op-amps. However, if the noise power exceeds kTB, other sources may be contributing to the noise and may not follow a Gaussian distribution, such as resistors which inherently produce Nyquist noise.
  • #1
likephysics
636
2
Is noise in sensors always gaussian?
I was playing with acceleromter data in matlab. I decomposed the data into high frequency and low frequency. The high frequency noise distribution looks like a gaussian.
Is this common to sensors?
 
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  • #2
likephysics said:
Is this common to sensors?

Its common in most electronic devices, actually. Transducers, ADC's, Op-amps, etc.
 
  • #3
Here is a comprehensive summary of electronic noise:
http://en.wikipedia.org/wiki/Quantum_1/f_noise
If your noise power is significantly above kTB (Boltzmann's constant, temperature kelvin, bandwidth), look for other sources that may be instrumental, and may not be Gaussian. Resistors are inherently noisy (Nyquist noise).
 

1. What is noise in sensors?

Noise in sensors refers to unwanted fluctuations or disturbances in the signal output of a sensor. It can be caused by various factors such as electronic interference, environmental conditions, or imperfections in the sensor itself.

2. How does noise affect sensor accuracy?

Noise can significantly affect the accuracy of a sensor by introducing errors or uncertainty in the measured data. It can also reduce the sensitivity and dynamic range of a sensor, making it difficult to detect small or weak signals.

3. What are the different types of noise in sensors?

The main types of noise in sensors are thermal (Johnson-Nyquist) noise, shot noise, flicker (1/f) noise, and white (Gaussian) noise. These types of noise have different characteristics and can be present in various types of sensors.

4. How is noise measured in sensors?

Noise in sensors is typically measured using the signal-to-noise ratio (SNR), which is the ratio of the signal amplitude to the noise amplitude. A higher SNR indicates a stronger and more reliable signal, while a lower SNR indicates a weaker and more uncertain signal.

5. How can noise in sensors be reduced?

There are several methods for reducing noise in sensors, such as using shielding or filtering techniques to minimize electronic interference, optimizing the sensor design and materials to reduce internal noise sources, and implementing signal processing algorithms to remove noise from the measured data.

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