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Designing Low-PAPR Waveform for OFDM-Based RadCom Systems
Univ Elect Sci & Technol China, Natl Key Lab Commun, Chengdu 611731, Peoples R China..
Univ Elect Sci & Technol China, Natl Key Lab Commun, Chengdu 611731, Peoples R China..
Univ Elect Sci & Technol China, Natl Key Lab Commun, Chengdu 611731, Peoples R China..
Univ Essex, Sch Comp Sci & Elect Engn, Colchester C04 3SQ, Essex, England..
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2022 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 21, no 9, p. 6979-6993Article in journal (Refereed) Published
Abstract [en]

This paper is focused on the fusion of radar and wireless communication, called RadCom, which has been extensively studied in recent years for future intelligent transportation systems. We propose a new waveform design algorithm for reducing peak-to-average power ratio (PAPR) in OFDM-based RadCom systems. We consider a flexible and generic RadCom structure in which a number of non-contiguous sub-bands for data transmission are located within a large contiguous spectrum hand for radar detection/sensing. New RadCom waveforms with low PAPR are obtained by carrying out optimization over those subcarriers which are complementary to the communication bands. As an application of the majorization-minimization (MM) optimization method, our major contribution is an l-norm cyclic algorithm which is capable of efficiently reducing the maximum PAPR of RadCom waveforms. We show by numerical simulation results that significant performance enhancements can be achieved compared to OFDM RadCom waveforms from legacy approaches.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 21, no 9, p. 6979-6993
Keywords [en]
RadCom, peak-to-average power ratio (PAPR), orthogonal frequency-division multiplexing (OFDM), waveform design, Internet-of-Vehicles (IoV)
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-319101DOI: 10.1109/TWC.2022.3153606ISI: 000852245900015Scopus ID: 2-s2.0-85125723993OAI: oai:DiVA.org:kth-319101DiVA, id: diva2:1698732
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QC 20220926

Available from: 2022-09-26 Created: 2022-09-26 Last updated: 2022-09-26Bibliographically approved

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Xiao, Ming

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