A Low-complexity Noise Reduction Scheme for Target Detection in the 2D Integrated Sensing And Communication System

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZhu, Luoyanen_US
dc.contributor.authorLiu, Yinshengen_US
dc.contributor.authorHe, Danpingen_US
dc.contributor.authorVorobyov, Sergiy A.en_US
dc.contributor.authorZhong, Zhangduien_US
dc.contributor.departmentDepartment of Information and Communications Engineeringen
dc.contributor.groupauthorSergiy Vorobyov Groupen
dc.contributor.organizationBeijing Jiaotong Universityen_US
dc.date.accessioned2024-01-17T08:21:45Z
dc.date.available2024-01-17T08:21:45Z
dc.date.issued2023en_US
dc.descriptionFunding Information: This work is supported by the Fundamental Research Funds for the Central Universities 2022JBXT001, 2022JBQY004, and the State Key Laboratory of Rail Traffic Control and Safety (Contract: No.RCS2022ZT015 ), NSFC under Grant 62271043, and Beijing Natural Science Foundation L221009. Publisher Copyright: © 2023 IEEE.
dc.description.abstractThis paper deals with low-complexity noise reduction for linear frequency modulated continuous-wave (FMCW) signals in the multiple input multiple output integrated sensing and communication system. The conventional low-rank filter, which significantly reduces the noise, becomes impractical for two-dimensional (2D) arrays because of the huge computational burden caused by the 2D eigen value decomposition (EVD). To address the computational issue, first a low-complexity filter with two separated one-dimensional low-rank filters is proposed so that the high-complexity EVD can be avoided. Furthermore, a discrete cosine transform-based filter is proposed to achieve an efficient denoising performance without the need for accurate estimations of sample covariance matrix. The simulation results illustrate that: i) our scheme improves the denoising performance with a low complexity and it is practically feasible; ii) decreasing the rank leads to a higher output signal to noise ratio of the target, which further results in a better detection probability.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.extent909-914
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationZhu, L, Liu, Y, He, D, Vorobyov, S A & Zhong, Z 2023, A Low-complexity Noise Reduction Scheme for Target Detection in the 2D Integrated Sensing And Communication System . in 2023 IEEE International Conference on Communications Workshops : Sustainable Communications for Renaissance, ICC Workshops 2023 . IEEE International Conference on Communications Workshops, IEEE, pp. 909-914, IEEE International Conference on Communications Workshops, Rome, Italy, 28/05/2023 . https://doi.org/10.1109/ICCWorkshops57953.2023.10283759en
dc.identifier.doi10.1109/ICCWorkshops57953.2023.10283759en_US
dc.identifier.isbn979-8-3503-3307-7
dc.identifier.issn2694-2941
dc.identifier.otherPURE UUID: 64967f85-8bff-4d59-82a6-a554e78ff0e3en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/64967f85-8bff-4d59-82a6-a554e78ff0e3en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85177865488&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/133403310/A_Low_complexity_Noise_Reduction_Scheme_for_Target_Detection_in_the_Integrated_MIMO_Sensing_And_Communication_System.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/125822
dc.identifier.urnURN:NBN:fi:aalto-202401171497
dc.language.isoenen
dc.relation.ispartofIEEE International Conference on Communications Workshopsen
dc.relation.ispartofseries2023 IEEE International Conference on Communications Workshopsen
dc.relation.ispartofseriesIEEE International Conference on Communications Workshopsen
dc.rightsopenAccessen
dc.subject.keywordintegrated sensing and communication (ISAC)en_US
dc.subject.keywordmillimeter wave (mmWave)en_US
dc.subject.keywordNoise reductionen_US
dc.subject.keywordtarget detectionen_US
dc.titleA Low-complexity Noise Reduction Scheme for Target Detection in the 2D Integrated Sensing And Communication Systemen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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