Understanding Intrinsic Sensor Error

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SUMMARY

Intrinsic sensor error is defined as the error resulting from the measurement method rather than solely from hardware limitations. It is influenced by factors such as sampling intervals, which can introduce errors when measuring spatially distributed phenomena. This error is distinct from random noise, which affects individual readings, and systematic error, which skews all readings in the same direction. In sensors, intrinsic noise includes thermal noise, shot noise, and dark counts, which must be differentiated from the noise present in the actual signal being measured.

PREREQUISITES
  • Understanding of intrinsic sensor error concepts
  • Familiarity with measurement methods and their impact on data accuracy
  • Knowledge of noise types: random noise, systematic error, and intrinsic noise
  • Basic principles of sensor technology and detection mechanisms
NEXT STEPS
  • Research methods for estimating intrinsic sensor error in various applications
  • Explore the effects of sampling intervals on measurement accuracy
  • Learn about different types of noise in sensors, including thermal noise and shot noise
  • Investigate techniques for minimizing intrinsic noise in sensor design
USEFUL FOR

Researchers, engineers, and technicians involved in sensor technology, measurement science, and data analysis who seek to understand and mitigate intrinsic sensor errors in their work.

mahannan
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How intrinsic error in a sensor is defined and how it can be estimated? I hv read somewhere that it is hardware dependent but some detail is required. Please help!
 
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I would say it is error resulting from the measurement method.
This is not necessarily due to hardware, imagine you sample a patch of ground looking for a mineral but you only measure a smaple every 10m, then the intrinsics error would be due to the sampling interval.
This is different from random error - noise on individual readings, or systamatic error - where all the readings are wrong in the same way due to the same effect.
 
In terms of a sensor or a detector, I would venture that the intrinsic error is the intrinsic noise in the detector - For a light detector this might be thermal noise, shot noise, dark counts etc, and to be differentiated from noise in the signal you are trying to detect.

In other words, the intrinsic noise is the noise you add after detection has taken place. The total noise is then the noise in the signal you are trying to measure plus the intrinsic noise of the detector.

Claude.
 

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