Prototype Acoustic Battlefield Decision Aid with Interfaces to Meteorological Data Sources and a Target Database.

摘要

This paper describes a prototype physics-based decision aid, called the Acoustic Battlefield Aid (ABFA), for predicting environmental effects on the performance of acoustical sensors. ABFA integrates advanced models for acoustic refraction and scattering, array signal processing, and the atmosphere into an easy-to-use graphical user interface. Available performance characterizations include probability of detection, direction-finding accuracy for isolated receiving arrays, and location-finding accuracy for networked receiving arrays. An overview is provided of the various physical models and how they operate together to characterize sensor performance. New features include an interface to the ARL Database/Automatic Target Recognition Laboratory and a Java-based capability for network access of forecasts from the Army's Integrated Meteorological System. A suite of tools has also been added to performs tasks such as creating new target descriptions from standard digitized audio files and designing sensor array layouts.