Proceedings Article | 20 November 2014
Proc. SPIE. 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications
KEYWORDS: Mathematical modeling, Infrared sensors, Infrared imaging, Sensors, Black bodies, Infrared radiation, Modulation transfer functions, Thermal modeling, Electro optical modeling, Systems modeling
When infrared detection scene simulation, Target signature quantitative measurement, a high confidence sensor model should be
developed. Generally, sensor model is developed by dividing an infrared sensor into three parts: optics, detector and electronic
circuits. Then several Mathematics models describing those parts effect are developed, and a sensor model is integrated. In this
way, the sensor model is based on strict mathematic theory. But this model needs a lot of parameters, some of which are very
difficult to achieve. So this model have an advantage to analyze sensor model effect, and when to simulating Infrared detection
scene or to analyzing quantitative measurement precision of faint target by actual infrared sensor, a sensor model which is based
on parameters that can be achieved should be developed. This article presents a new sensor model. The input parameters includes:
SiTF, MTF, Noise and so on, all of which can be achieved in laboratory or outfield. The sensor model is validated by point target
experiment and four-bar target experiment, and the error is within 5%. The SiTF parameter can be achieved through the relation
of blackbody radiation and sensor signal. The noise parameter can be achieved by nonuniform background sensor signal and SiTF.
The MTF parameter is very important, but it is difficult to be measured directly, especially outfield. This article presents a method
to inverse the MTF by point target observation experiment. This method can be used to inverse an actual sensor MTF outfield by
star observation experiment.
