A Comprehensive Model For Performance Prediction of Electro-Optical Systems [report]

Joseph J. Shirron, Thomas B. Giddings
2007 unpublished
LONG-TERM GOALS 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
more » ... 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. OBJECTIVES Our objectives are to develop and validate EOID models to compute reliable metrics for the prediction of system/operator performance, and for generating synthetic images of bottom scenes under given environmental conditions and operational settings. These models will be validated, certified and incorporated into the Navy Standard Oceanographic and Atmospheric Master Library (OAML). The models will also be integrated into Tactical Decision Aids (TDAs), specifically the Mine Warfare Environmental Decision Aid Library (MEDAL). The code base is being developed in ANSI C/C++ to ensure portability across computer platforms and to facilitate incorporation within fleet TDAs. APPROACH Performance predictions for electro-optical systems are predicated on accurate modeling of light propagation in water. EODES contains a validated radiative transfer solver for ocean environments, which is used as the common basis for all system models. The modular nature of the EODES software framework enables new models to be implemented easily, rapidly, and independently. The investment in the current models and their software code base can be leveraged to accelerate development of other system models through code reuse and sharing of common interfaces for model inputs and outputs. The code base is developed in ANSI C/C++ to provide portability across computer platforms. The EODES model libraries can also be imported into the high-level Python language to facilitate the 1
doi:10.21236/ada573120 fatcat:lxlbm2lbxbdeznase4t7k5ft3i