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Summary

This summary is machine-generated.

A new method calculates infrared (IR) sensor performance using adaptive thresholding. This accounts for complex backgrounds and nonstationary photocurrents, aiding passive surveillance device design.

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Area of Science:

Infrared (IR) sensor technology
Signal processing for sensor systems
Optical communications theory

Background:

Background-limited infrared (IR) sensors are crucial for surveillance.
Adaptive threshold signal processing is key for performance.
Nonstationary statistical properties of photocurrents pose a challenge.

Purpose of the Study:

To present a novel procedure for calculating the performance of scanning background-limited IR sensors.
To incorporate adaptive threshold signal-processing logic into the performance calculations.
To address the nonstationary statistical nature of photocurrents in IR sensor performance analysis.

Main Methods:

Developed a new procedure for performance calculation in IR sensors.
Utilized results from optical communications theory.
Applied a formalism for threshold-crossing statistics of nonstationary noises.

Main Results:

The presented procedure accurately calculates the performance of IR sensors with adaptive thresholding.
The method accounts for arbitrary radiance map structures in the IR background scene.
The statistical nature of nonstationary photocurrents is effectively managed.

Conclusions:

The developed theory provides a robust method for IR sensor performance evaluation.
This work is applicable to the design of IR passive surveillance devices.
Companion paper offers further simplifications and numerical examples.