International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California / The next generation Digital Beamforming Array (DBFA) requires techniques beyond the
existing adaptive processing and optimization approaches. By utilizing neural network
processing and genetic algorithms that mimic complicated natural processes, such as the
brain and natural selection, new and superior Antenna Arrays can be designed.
The use of Neural Networks and Genetic Algorithms combined with the existing
techniques for DBFAs can yield the ultimate in “real-time,” “smart” antenna performance.
Cost is significantly reduced by; allowing large manufacturing tolerances, the use of
inexpensive components, and correcting by neural network techniques.
This paper describes the technology and proposes a practical application of the technique
to design a DBFA to track and transmit/receive telemetry from a shipboard vertically
launched medium range missile.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/607379 |
| Date | 10 1900 |
| Creators | Sullivan, Arthur, Christodoulou, Christos, Chandler, Charles W. |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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