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Experimentation of an adaptive and autonomous RF signalling strategy for detection

Jones, AM; Horne, CP; Griffiths, HD; Smith, G; Mitchell, A; John-Baptiste, P; (2018) Experimentation of an adaptive and autonomous RF signalling strategy for detection. In: 2018 IEEE Radar Conference (RadarConf18). (pp. pp. 1213-1218). IEEE: Oklahoma City, OK, USA. Green open access

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Abstract

In this paper we discuss a straightforward signalling strategy for target detection and shared spectrum usage. We further combine additional practical concerns such as waveform modulus and extended target matched illumination to improve detection performance in dynamic interference environments. The impetus for the straightforward, yet suboptimal, strategy are the low cost drivers for small sensing platforms, such as small unmanned aerial systems (SUAS). Herein, we discuss a complete strategy and algorithm for sensing the environment, interrogating the target response and adapting the transmitted waveform to avoid the primary users while putting more energy on target than previous non-adaptive strategies. We give simulation results and initial experimental results to corroborate the theoretical and simulated findings.

Type: Proceedings paper
Title: Experimentation of an adaptive and autonomous RF signalling strategy for detection
Event: 2018 IEEE Radar Conference (RadarConf18)
Location: Oklahoma City, OK
Dates: 23 April 2018 - 27 April 2018
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RADAR.2018.8378735
Publisher version: https://doi.org/10.1109/RADAR.2018.8378735
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: Interference, Signal to noise ratio, Radar, Sensors, Adaptation models, Heuristic algorithms, Simulation
UCL classification: 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: http://discovery.ucl.ac.uk/id/eprint/10064163
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