Dynamic end-to-end model testbed for IR detection algorithms

Frank J. Iannarilli Jr.; Martin Ronald Wohlers

doi:10.1117/12.45731

1 July 1991 Dynamic end-to-end model testbed for IR detection algorithms

Frank J. Iannarilli Jr., Martin Ronald Wohlers

Proceedings Volume 1483, Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling; (1991) https://doi.org/10.1117/12.45731
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

Aerodyne has recently developed an 'IRST Engagement Model' under contract for Lockheed Aeronautical Systems Company (LASC). The model's purpose is to simulate the performance of an IRST system in long-range air-to-air detection and tracking engagements. The hallmark of the model is its end-to-end first-principles modeling of all major elements which determine specific performance. The target aircraft IR signature, the atmospheric cloud and sky background, and associated atmospheric effects are modeled at high fidelity, thereby producing an input image matched to the specific IRST under study. A detailed deterministic model of the IRST accounts for optical and sensor effects, signal processing, and track association typical of first-generation IRSTs. These model elements are coupled together along with a dynamic target and observer (IRST) trajectories model so that an analyst can specify air-to-air engagements at various velocities, ranges, and viewing angles. The analyst can study the effects of varying IRST algorithms, sensor characteristics, optical bandpass, cloud background levels, atmospheric effects, and target performance characteristics as well as varying the target aircraft itself. This computer model was designed for portability and growth.

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Frank J. Iannarilli Jr. and Martin Ronald Wohlers "Dynamic end-to-end model testbed for IR detection algorithms", Proc. SPIE 1483, Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling, (1 July 1991); https://doi.org/10.1117/12.45731

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KEYWORDS

Infrared search and track

Systems modeling

Performance modeling

Clouds

Sensors

Atmospheric modeling

Signal processing

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