Paper
3 May 2010 Simulator of IRST system with ATR embedded functions
B. Sozzi, E. Fossati, G. Barani, N. Santini, A. Ondini, G. Colombi, C. Quaranta
Author Affiliations +
Abstract
This paper presents a soft-real time simulator for IRST (InfraRed Search and Track) systems with ATR (Automatic Target Recognition) embedded functions to test airborne applications performance. The IR camera model includes detector, optics, available Field-of-Regard, etc., and it is integrated with the motion platform local stabilization system to consider all factors impacting IR images. The atmosphere contributions are taken into account by means of a link to ModTran computer program. Sensor simulation allows derivation and assessment of IR Figures of Merit (NEI, NETD, SNR...). IR signatures of targets derive both from data collected in specific trial campaigns and from laboratory built models. The simulation of the scan procedure takes into account different policies (ground points paths or defined angular volume) and different platform motion strategies (continuous or step steering scan). The scan process includes Kalman technique to face unexpected variations of aircraft motion. Track and ATR processors are simulated and run consistently on the output of the sensor model. The simulator functions are developed in MatLab and SIMULINK and then exported in C code to be integrated in soft real-time environment. The use of this simulator supports the definition and design of the IRST systems especially for the evaluation of the most demanding operative requirements. An application of this simulator is for the NEURON UCAV (Unmanned Combat Air Vehicle) technological demonstrator, which accommodates on board both IRST and ATR tasks.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Sozzi, E. Fossati, G. Barani, N. Santini, A. Ondini, G. Colombi, and C. Quaranta "Simulator of IRST system with ATR embedded functions", Proc. SPIE 7660, Infrared Technology and Applications XXXVI, 766003 (3 May 2010); https://doi.org/10.1117/12.849629
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CITATIONS
Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Infrared search and track

Target recognition

Infrared cameras

Sensors

Computer simulations

Motion models

Detection and tracking algorithms

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