Performance modeling of electro-optical devices for military target acquisition

TL;DR

This paper develops mathematical models to predict electro-optical device performance for military target detection, aiding system development and tactical decision-making through signal-to-noise ratio analysis under various conditions.

Contribution

It introduces a novel modeling approach that quantifies detection probability based on photon-level signal analysis in different environmental scenarios.

Findings

Effective prediction of target detection probabilities

Enhanced understanding of environmental impacts on sensor performance

Framework for integrating models into defense simulations

Abstract

Accurate predictions of electro-optical imager performance are important for defence decision-making. The predictions serve as a guide for system development and are used in war game, simulations that directly influence engagement tactics. In the present study, mathematical models have been developed which involves detection of different military targets using their opto-electronics properties in different environmental conditions. The method first calculates the signal-to-noise ratio received by the observing sensors reflected from the target by quantifying the light energy in terms of photons, which is used for evaluating the detection probability.