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Waveform Selection for Multi-band Multistatic Radar Networks

Temiz, Murat; Ritchie, Matthew; Griffiths, Hugh; (2022) Waveform Selection for Multi-band Multistatic Radar Networks. The Institute of Electrical and Electronics Engineers: Piscataway, NJ, USA. Green open access

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Abstract

This study investigates the benefits of waveform selection by exploiting multiple illuminators of opportunity (IO) in hybrid radar systems consisting of multi-band receivers which can utilise active radar transmitters and broadcasting signals for bistatic radar sensing. As a performance metric, Cramer-Rao lower bounds (CRLBs) on velocity and range estimations are considered. Consider- ´ ing that TV and radio broadcasting stations usually emit high power signals, they are suitable for passive sensing as IOs. Therefore, FM radio, Digital Video Broadcasting-Terrestrial (DVB-T) and Digital Audio Broadcasting (DAB) transmitters are considered for passive radar operations while also having an active radar transmitter in the multistatic radar network. Multistatic radar networks comprising receivers, transmitter and IOs transmitting the aforementioned waveforms are modelled and optimum selection of bistatic pairs are studied based on CRLBs on range and velocity estimations. Two different multistatic radar network scenarios are simulated and the results are evaluated to analyse the estimation accuracy of active and passive bistatic pairs in the network. The results show that multi-band multistatic radar network provides better range and velocity estimations and may also mitigate the adverse effects of jamming by exploiting broadcasting waveforms compared to a radar network which only considers radar transmitters for sensing.

Type: Working / discussion paper
Title: Waveform Selection for Multi-band Multistatic Radar Networks
Open access status: An open access version is available from UCL Discovery
Publisher version: https://doi.org/10.36227/techrxiv.19329497.v1
Language: English
Additional information: © The Authors 2022. Original content in this paper is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/).
UCL classification: 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
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10146167
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