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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wilber, G.F. Plaisted, S.J. |
| Copyright Year | 1989 |
| Description | Author affiliation: Boeing Mil. Airplanes, Seattle, WA, USA (Wilber, G.F.; Plaisted, S.J.) |
| Abstract | A description of the knowledge-driven methodology and data structures necessary to solve the real-time electronic warfare problem effectively and efficiently is presented. The knowledge-driven system is written in a conventional high-level language, performs real-time operations, uses the Boeing real-time inference engine and operates on parallel distributed avionics processors. The development has successfully demonstrated real-time AI-driven EW processing for the modern combat environment by performing generic and specific radar and threat recognition, pulse filtering and processing, and multilevel missionized countermeasure selection. The system also demonstrates a state-of-the-art operator interface that provides effective system operation in semiautomatic and manual modes required by some combat mission scenarios. The knowledge-based expert system described has been implemented successfully as a prototype and integrated into a strategic mission simulation environment and the On Board Mission Management IR&D project simulation.< |
| Starting Page | 940 |
| Ending Page | 947 |
| File Size | 660222 |
| Page Count | 8 |
| File Format | |
| DOI | 10.1109/NAECON.1989.40325 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1989-05-22 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electronic warfare Real time systems Radar countermeasures Data structures High level languages Engines Aerospace electronics Filtering Manuals Expert systems |
| Content Type | Text |
| Resource Type | Article |
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