dc.contributor.author |
Wabeke, LO
|
|
dc.contributor.author |
Nel, Willem AJ
|
|
dc.date.accessioned |
2010-11-05T09:56:37Z |
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dc.date.available |
2010-11-05T09:56:37Z |
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dc.date.issued |
2010-06 |
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dc.identifier.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 |
en |
dc.identifier.isbn |
978-1-4244-6458-6 |
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dc.identifier.uri |
http://hdl.handle.net/10204/4532
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dc.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 |
en |
dc.description.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. |
en |
dc.language.iso |
en |
en |
dc.publisher |
IEEE |
en |
dc.relation.ispartofseries |
Conference Paper |
en |
dc.subject |
Radar systems |
en |
dc.subject |
Q-Learning |
en |
dc.subject |
Radar transmit frequency |
en |
dc.subject |
Radar |
en |
dc.subject |
Cognitive information processing |
en |
dc.title |
Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Wabeke, L., & Nel, W. (2010). Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment. IEEE. http://hdl.handle.net/10204/4532 |
en_ZA |
dc.identifier.chicagocitation |
Wabeke, LO, and WAJ Nel. "Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment." (2010): http://hdl.handle.net/10204/4532 |
en_ZA |
dc.identifier.vancouvercitation |
Wabeke L, Nel W, Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment; IEEE; 2010. http://hdl.handle.net/10204/4532 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Wabeke, LO
AU - Nel, WAJ
AB - 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.
DA - 2010-06
DB - ResearchSpace
DP - CSIR
KW - Radar systems
KW - Q-Learning
KW - Radar transmit frequency
KW - Radar
KW - Cognitive information processing
LK - https://researchspace.csir.co.za
PY - 2010
SM - 978-1-4244-6458-6
T1 - Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment
TI - Utilizing Q-Learning to allow a radar to choose its transmit frequency, adapting to its environment
UR - http://hdl.handle.net/10204/4532
ER - |
en_ZA |