Understanding Intrinsic Sensor Error

In summary, intrinsic error in a sensor is defined as the error resulting from the measurement method and is not necessarily due to hardware. It can be caused by factors such as sampling interval or intrinsic noise in the detector. This is different from random or systematic error. The intrinsic noise is added after detection has taken place and is separate from the noise in the signal being measured.
  • #1
mahannan
4
0
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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  • #2
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.
 
  • #3
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.
 

Related to Understanding Intrinsic Sensor Error

What is intrinsic sensor error?

Intrinsic sensor error refers to the inherent imperfections or inaccuracies in a sensor's design or construction that can affect the accuracy of its measurements.

What causes intrinsic sensor error?

Intrinsic sensor error can be caused by various factors such as manufacturing defects, environmental conditions, and wear and tear over time.

How does intrinsic sensor error affect data accuracy?

Intrinsic sensor error can lead to inaccurate readings, which can result in incorrect data analysis and conclusions. It can also cause inconsistencies in data over time.

How can intrinsic sensor error be minimized?

Intrinsic sensor error can be minimized by using high-quality sensors, regular calibration, and implementing proper maintenance and storage procedures.

What are some common techniques for measuring intrinsic sensor error?

Some common techniques for measuring intrinsic sensor error include zero offset testing, response time testing, and linearity testing.

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