Cognitive Software Algorithms Techniques for Electronic Warfare

Research Associates of Syracuse (RAS) proposes to design, build, and demonstrate a modular and extensible software framework called the Cognitive Reasoner for Electronic Warfare Systems (CREWS) utilizing innovative cognitive software algorithms and techniques to identify and counter highly agile radar emitters. The framework will be built in a modular and open manner utilizing robust open-source libraries when possible. CREWS is envisioned as a software add-on capability to enhance existing EW systems such as SEWIP Block II and III. System interfaces will be isolated to a single interface library, lowering the costs associated with future transition to any platform. CREWS will contain specialized modules for performing cognitive processing. Each module will accept additional algorithms via a plug-in architecture as they are developed. A primary output of CREWS will be an automatically generated, highly descriptive WML representation of newly discovered emitter waveforms. The WML descriptions are input to the EA portion of the EW system, and provide enough information to support the creation and maintenance of emitter databases. Part of the design will include algorithms and techniques for determining higher order characteristics of the waveform such as function, mode, intent, hostility level, and agility capability.