Performance of a communicating radar using FSK and fractional fourier transform for automotive applications
Striano, Pasquale and Ilioudis, Christos V. and Clemente, Carmine and Soraghan, John J.; (2019) Performance of a communicating radar using FSK and fractional fourier transform for automotive applications. In: 2019 IEEE Radio and Wireless Symposium, RWS 2019. IEEE, USA. ISBN 9781538659441 (https://doi.org/10.1109/RWS.2019.8714409)
Preview |
Text.
Filename: Striano_etal_IEEE_RWW_2019_Performance_of_a_communicating_radar_using_FSK_and_fractional_fourier.pdf
Accepted Author Manuscript Download (432kB)| Preview |
Abstract
In automotive environment, it is preferable to have a joint radar and communication system as it is able to use the same hardware and band of the spectrum for both systems. In this paper a joint radar communication system for automotive radar based on the Fractional Fourier Transform (FrFT) is presented. The performance of the system is analysed in the presence of interference arising from other users. In addition, the communication performance in terms of Bit Error Rate (BER), is analysed for different scenarios. Simulation results demonstrate the potential of the proposed system in multi-user scenarios and in different types of communication channels.
ORCID iDs
Striano, Pasquale, Ilioudis, Christos V. ORCID: https://orcid.org/0000-0002-7164-6461, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X and Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391;-
-
Item type: Book Section ID code: 67320 Dates: DateEvent14 May 2019Published20 October 2018AcceptedNotes: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 15 Mar 2019 13:03 Last modified: 11 Nov 2024 15:16 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67320