ISAC system assisted by RIS with sparse active elements
Abstract In this paper, we consider an integrated sensing and communications system assisted by a reconfigurable intelligent surface (RIS). A small number of sparsely placed active sensors are applied in the RIS to perform effective channels and, thereby, enable optimized beamforming for both commun...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-02-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13634-023-00977-5 |
| _version_ | 1811171502434811904 |
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| author | Mirza Asif Haider Yimin D. Zhang Elias Aboutanios |
| author_facet | Mirza Asif Haider Yimin D. Zhang Elias Aboutanios |
| author_sort | Mirza Asif Haider |
| collection | DOAJ |
| description | Abstract In this paper, we consider an integrated sensing and communications system assisted by a reconfigurable intelligent surface (RIS). A small number of sparsely placed active sensors are applied in the RIS to perform effective channels and, thereby, enable optimized beamforming for both communications and sensing objectives, namely, establishing reliable communication links with communication users (CUs) and effectively localize targets. The time-varying multipath channels between the RIS and the CU as well as the time-varying channel between the RIS and the targets are estimated by exploiting an interpolated Hermitian and Toeplitz covariance matrix followed by direction-of-arrival estimation using the MUSIC algorithm. Based on such results, we jointly optimize the transmit beamformer at the base station and the unit-modulus RIS passive beamformer. The RIS beamformer is optimized to maximize its minimum beam-pattern gain towards the desired sensing angles subject to the minimum signal-to-noise ratio requirement at the CU. Simulation results verify the effectiveness of the proposed approach, and the performance of different sparse array configurations is compared. |
| first_indexed | 2024-04-10T17:15:04Z |
| format | Article |
| id | doaj.art-5ccf7929ad974e52a598b8f782051993 |
| institution | Directory Open Access Journal |
| issn | 1687-6180 |
| language | English |
| last_indexed | 2024-04-10T17:15:04Z |
| publishDate | 2023-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-5ccf7929ad974e52a598b8f7820519932023-02-05T12:26:56ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-02-012023112210.1186/s13634-023-00977-5ISAC system assisted by RIS with sparse active elementsMirza Asif Haider0Yimin D. Zhang1Elias Aboutanios2Department of Electrical and Computer Engineering, Temple UniversityDepartment of Electrical and Computer Engineering, Temple UniversitySchool of Electrical Engineering and Telecommunications, The University of New South WalesAbstract In this paper, we consider an integrated sensing and communications system assisted by a reconfigurable intelligent surface (RIS). A small number of sparsely placed active sensors are applied in the RIS to perform effective channels and, thereby, enable optimized beamforming for both communications and sensing objectives, namely, establishing reliable communication links with communication users (CUs) and effectively localize targets. The time-varying multipath channels between the RIS and the CU as well as the time-varying channel between the RIS and the targets are estimated by exploiting an interpolated Hermitian and Toeplitz covariance matrix followed by direction-of-arrival estimation using the MUSIC algorithm. Based on such results, we jointly optimize the transmit beamformer at the base station and the unit-modulus RIS passive beamformer. The RIS beamformer is optimized to maximize its minimum beam-pattern gain towards the desired sensing angles subject to the minimum signal-to-noise ratio requirement at the CU. Simulation results verify the effectiveness of the proposed approach, and the performance of different sparse array configurations is compared.https://doi.org/10.1186/s13634-023-00977-5Intelligent reflecting surfaceIntegrated sensing and communicationsSparse arrayStructured matrix completionDirection-of-arrival estimation |
| spellingShingle | Mirza Asif Haider Yimin D. Zhang Elias Aboutanios ISAC system assisted by RIS with sparse active elements EURASIP Journal on Advances in Signal Processing Intelligent reflecting surface Integrated sensing and communications Sparse array Structured matrix completion Direction-of-arrival estimation |
| title | ISAC system assisted by RIS with sparse active elements |
| title_full | ISAC system assisted by RIS with sparse active elements |
| title_fullStr | ISAC system assisted by RIS with sparse active elements |
| title_full_unstemmed | ISAC system assisted by RIS with sparse active elements |
| title_short | ISAC system assisted by RIS with sparse active elements |
| title_sort | isac system assisted by ris with sparse active elements |
| topic | Intelligent reflecting surface Integrated sensing and communications Sparse array Structured matrix completion Direction-of-arrival estimation |
| url | https://doi.org/10.1186/s13634-023-00977-5 |
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