A Low-complexity Noise Reduction Scheme for Target Detection in the 2D Integrated Sensing And Communication System
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Zhu, Luoyan | en_US |
dc.contributor.author | Liu, Yinsheng | en_US |
dc.contributor.author | He, Danping | en_US |
dc.contributor.author | Vorobyov, Sergiy A. | en_US |
dc.contributor.author | Zhong, Zhangdui | en_US |
dc.contributor.department | Department of Information and Communications Engineering | en |
dc.contributor.groupauthor | Sergiy Vorobyov Group | en |
dc.contributor.organization | Beijing Jiaotong University | en_US |
dc.date.accessioned | 2024-01-17T08:21:45Z | |
dc.date.available | 2024-01-17T08:21:45Z | |
dc.date.issued | 2023 | en_US |
dc.description | Funding 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.abstract | This 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.version | Peer reviewed | en |
dc.format.extent | 6 | |
dc.format.extent | 909-914 | |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Zhu, 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/ICCWorkshops57953.2023.10283759 | en |
dc.identifier.doi | 10.1109/ICCWorkshops57953.2023.10283759 | en_US |
dc.identifier.isbn | 979-8-3503-3307-7 | |
dc.identifier.issn | 2694-2941 | |
dc.identifier.other | PURE UUID: 64967f85-8bff-4d59-82a6-a554e78ff0e3 | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/64967f85-8bff-4d59-82a6-a554e78ff0e3 | en_US |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85177865488&partnerID=8YFLogxK | en_US |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/133403310/A_Low_complexity_Noise_Reduction_Scheme_for_Target_Detection_in_the_Integrated_MIMO_Sensing_And_Communication_System.pdf | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/125822 | |
dc.identifier.urn | URN:NBN:fi:aalto-202401171497 | |
dc.language.iso | en | en |
dc.relation.ispartof | IEEE International Conference on Communications Workshops | en |
dc.relation.ispartofseries | 2023 IEEE International Conference on Communications Workshops | en |
dc.relation.ispartofseries | IEEE International Conference on Communications Workshops | en |
dc.rights | openAccess | en |
dc.subject.keyword | integrated sensing and communication (ISAC) | en_US |
dc.subject.keyword | millimeter wave (mmWave) | en_US |
dc.subject.keyword | Noise reduction | en_US |
dc.subject.keyword | target detection | en_US |
dc.title | A Low-complexity Noise Reduction Scheme for Target Detection in the 2D Integrated Sensing And Communication System | en |
dc.type | A4 Artikkeli konferenssijulkaisussa | fi |
dc.type.version | acceptedVersion |