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Radiometric analysis of infrared sensor performance.

R Richter, J Fries

|June 12, 2010

Summary

This summary is machine-generated.

The SENSAT model enhances infrared (IR) sensor performance analysis for target detection. It accurately predicts radiometric relations and incorporates advanced noise models for improved IR sensor performance evaluation.

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Area of Science:

Infrared (IR) sensor technology
Radiometric analysis
Target detection systems

Background:

Passive IR sensors require accurate performance analysis for effective target detection.
Existing models may not fully account for complex noise sources in IR detectors.
Atmospheric effects significantly impact IR sensor performance.

Purpose of the Study:

To analyze and enhance the performance of infrared (IR) sensors for target detection using the SENSAT model.
To improve radiometric calculations by incorporating detailed noise models for quantum detectors.
To present an efficient tool for radiometric analysis of IR sensor performance, including spectral band optimization.

Main Methods:

Utilized the SENSAT model to calculate radiometric relations for passive IR sensors.
Integrated the LOwTRAN-6 code for atmospheric modeling within SENSAT.
Introduced a noise model accounting for photon noise, thermal detector/preamplifier noise, and g-r and 1/f noise.
Performed spectral band optimization based on the signal-to-noise ratio (SNR).

Main Results:

The enhanced SENSAT model accurately calculates radiometric relations for IR sensors with multiple objects.
The noise model effectively incorporates various noise sources affecting quantum detectors.
Spectral band optimization with respect to SNR improved the analysis.
Model calculations showed excellent agreement with experimental measurements in the 3-5-micrometer and 8-14-micrometer bands.

Conclusions:

The SENSAT model, with its integrated noise and atmospheric components, is an efficient tool for IR sensor radiometric analysis.
The model's predictions are validated by experimental data, confirming its accuracy.
The study provides a robust method for optimizing IR sensor design and performance for target detection.