A Comprehensive Model for Performance Prediction of Electro-Optical Systems

Abstract : The long-term goals of this effort are to provide reliable performance prediction and accurate system simulation capabilities for underwater electro-optic identification (EOID) systems. The Electro-Optical Detection Simulator (EODES) suite of numerical models developed under this program will predict the impact of environmental conditions, system parameters (e.g., apertures and PMT gains), and operational settings (e.g., platform speed and altitude) on system performance. Once fully validated, the models are anticipated to support mine countermeasures (MCM) mission planning and operator training. The two most prominent sensor technologies in this area are Laser Line Scan (LLS) and Streak Tube Imaging Lidar (STIL). Examples of systems using these technologies are the AN/AQS-24 (using LLS) and a variant of the AN/AQS-20 (using STIL) mine-hunting systems. The ALMDS (Airborne Laser Mine Detection System) also uses a STIL sensor to image underwater objects from an airborne platform. High-fidelity models for all these systems have been incorporated into the EODES software.