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Interfering Channel Estimation in Radar-Cellular Coexistence: How Much Information Do We Need?

Liu, F; García-Rodríguez, A; Masouros, C; Geraci, G; (2019) Interfering Channel Estimation in Radar-Cellular Coexistence: How Much Information Do We Need? IEEE Transactions on Wireless Communications , 18 (9) pp. 4238-4253. 10.1109/TWC.2019.2921556. Green open access

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Abstract

In this paper, we focus on the coexistence between a MIMO radar and cellular base stations. We study the interfering channel estimation, where the radar is operated in the “search and track” mode, and the BS receives the interference from the radar. Unlike the conventional methods where the radar and the cellular systems fully cooperate with each other, in this work we consider that they are uncoordinated and the BS needs to acquire the interfering channel state information (ICSI) by exploiting the radar probing waveforms. For completeness, both the line-ofsight (LoS) and Non-LoS (NLoS) channels are considered in the coexistence scenario. By further assuming that the BS has limited a priori knowledge about the radar waveforms, we propose several hypothesis testing methods to identify the working mode of the radar, and then obtain the ICSI through a variety of channel estimation schemes. Based on the statistical theory, we analyze the theoretical performance of both the hypothesis testing and the channel estimation methods. Finally, simulation results verify the effectiveness of our theoretical analysis and demonstrate that the BS can effectively estimate the interfering channel even with limited information from the radar.

Type: Article
Title: Interfering Channel Estimation in Radar-Cellular Coexistence: How Much Information Do We Need?
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TWC.2019.2921556
Publisher version: https://doi.org/10.1109/TWC.2019.2921556
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: Radar-communication coexistence, channel estimation, hypothesis testing, search and track.
UCL classification: UCL
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/10076239
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