Horne, C;
Ritchie, M;
Griffiths, H;
Hoffmann, F;
Charlish, A;
(2016)
Experimental Validation of Cognitive Radar
Anticipation using Stochastic Control.
In:
Proceedings of the 2016 50th Asilomar Conference on Signals, Systems and Computers.
IEEE: Pacific Grove, CA, USA.
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Abstract
Cognition applied to radar systems is a growing area of research. The majority of cognitive radar research is focused on theory and simulation with little experimental validation. Prior research proposed the application of anticipation within a cognitive radar, demonstrating by simulation that this can provide significant improvements in tracking performance, when compared to non-cognitive radar tracking methods. The approach applied a POMDP algorithm to control the timing of track updates for a target while anticipating the loss of measurements within a known time period/region. This work aims to expand on this concept by using data from a real radar, NetRAD, in order to validate the application of anticipation when tracking a human target.
| Type: | Proceedings paper |
|---|---|
| Title: | Experimental Validation of Cognitive Radar Anticipation using Stochastic Control |
| Event: | 50th Asilomar Conference on Signals, Systems and Computers |
| Location: | Pacific Grove CA |
| Dates: | 06 November 2016 - 09 November 2016 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.asilomarsscconf.org/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Cognitive Radar; Tracking; Anticipation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051771 |
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