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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4532

Title: Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment
Authors: Wabeke, LO
Nel, WAJ
Keywords: Radar systems
Q-Learning
Radar transmit frequency
Radar
Cognitive information processing
Issue Date: Jun-2010
Publisher: IEEE
Citation: Wabeke, LO and Nel, WAJ. 2010. Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment. 2nd International Workshop on Cognitive Information Processing, Elba Island, Italy, 14-16 June 2010, pp 263-268
Series/Report no.: Conference Paper
Abstract: Recent research show that utilization of knowledge of the environment can allow a radar system to adapt its processing to improve its performance. Furthermore, a radar system that utilize both a-priori and measured knowledge in an adaptive close loop manner could seem to be cognitive of its environment, able to adapt to changes to optimize performance. Reinforced learning could play a vital role as part of such a closed-loop cognitive radar system. The Q-Learning algorithm is hypothesized to be useful for this cognitive radar domain. This paper investigates the problem of adaptively choosing the radar transmit frequency through application of Q-Learning on measured radar data. A comparison is made against other frequency selection algorithms and its shown that Q-Learning manages to learn a good strategy to adaptively select radar transmit frequency, mostly outperforming the other methods tested in the scenario investigated here.
Description: Copyright: 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
URI: http://hdl.handle.net/10204/4532
ISBN: 978-1-4244-6458-6
Appears in Collections:Radar and electronic warfare systems
General science, engineering & technology

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