Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided

Ka Ho Lau; Jian Song

doi:10.1109/EExPolytech58658.2023.10318620

Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided

Ka Ho Lau
, Jian Song

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

By orthonormal atomic norm minimization (OANM), we may utilize the property of atomic separation-freedom to perform low-complexity direction-of-arrival estimation although only a single-snapshot of the received signal is used. In other point of view, estimations in angular-domain are highly related to processing in time-domain. In this paper, we apply our proposed OANM method to perform time-of-arrival (ToA) estimations. Out of expectations, OANM, with the aiding of prior information, also works with the outcome of ideal accuracy. Specially noted that, when atomic separation is close enough for estimations, OANM results in lower measurement error - its performance approaches to that of another high-complex method.

Original language	English
Title of host publication	Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023
Editors	A. Ovsyannikova, V. Kapralova
Pages	108-111
Number of pages	4
ISBN (Electronic)	9798350310481
DOIs	https://doi.org/10.1109/EExPolytech58658.2023.10318620
Publication status	Published - 2023
Externally published	Yes
Event	2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023 - Saint Petersburg, Russian Federation Duration: 19 Oct 2023 → 20 Oct 2023

Publication series

Name	Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023

Conference

Conference	2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023
Country/Territory	Russian Federation
City	Saint Petersburg
Period	19/10/23 → 20/10/23

Keywords

atomic separation
compressive sensing
norm minimization
sparse signal processing
ToA-estim ation

Access to Document

10.1109/EExPolytech58658.2023.10318620

Cite this

Lau, K. H., & Song, J. (2023). Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided. In A. Ovsyannikova, & V. Kapralova (Eds.), Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023 (pp. 108-111). (Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023). https://doi.org/10.1109/EExPolytech58658.2023.10318620

Lau, Ka Ho ; Song, Jian. / Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided. Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023. editor / A. Ovsyannikova ; V. Kapralova. 2023. pp. 108-111 (Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023).

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title = "Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided",

abstract = "By orthonormal atomic norm minimization (OANM), we may utilize the property of atomic separation-freedom to perform low-complexity direction-of-arrival estimation although only a single-snapshot of the received signal is used. In other point of view, estimations in angular-domain are highly related to processing in time-domain. In this paper, we apply our proposed OANM method to perform time-of-arrival (ToA) estimations. Out of expectations, OANM, with the aiding of prior information, also works with the outcome of ideal accuracy. Specially noted that, when atomic separation is close enough for estimations, OANM results in lower measurement error - its performance approaches to that of another high-complex method.",

keywords = "atomic separation, compressive sensing, norm minimization, sparse signal processing, ToA-estim ation",

author = "Lau, \{Ka Ho\} and Jian Song",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023 ; Conference date: 19-10-2023 Through 20-10-2023",

year = "2023",

doi = "10.1109/EExPolytech58658.2023.10318620",

language = "English",

series = "Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023",

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Lau, KH & Song, J 2023, Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided. in A Ovsyannikova & V Kapralova (eds), Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023. Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023, pp. 108-111, 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023, Saint Petersburg, Russian Federation, 19/10/23. https://doi.org/10.1109/EExPolytech58658.2023.10318620

Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided. / Lau, Ka Ho; Song, Jian.
Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023. ed. / A. Ovsyannikova; V. Kapralova. 2023. p. 108-111 (Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - By orthonormal atomic norm minimization (OANM), we may utilize the property of atomic separation-freedom to perform low-complexity direction-of-arrival estimation although only a single-snapshot of the received signal is used. In other point of view, estimations in angular-domain are highly related to processing in time-domain. In this paper, we apply our proposed OANM method to perform time-of-arrival (ToA) estimations. Out of expectations, OANM, with the aiding of prior information, also works with the outcome of ideal accuracy. Specially noted that, when atomic separation is close enough for estimations, OANM results in lower measurement error - its performance approaches to that of another high-complex method.

AB - By orthonormal atomic norm minimization (OANM), we may utilize the property of atomic separation-freedom to perform low-complexity direction-of-arrival estimation although only a single-snapshot of the received signal is used. In other point of view, estimations in angular-domain are highly related to processing in time-domain. In this paper, we apply our proposed OANM method to perform time-of-arrival (ToA) estimations. Out of expectations, OANM, with the aiding of prior information, also works with the outcome of ideal accuracy. Specially noted that, when atomic separation is close enough for estimations, OANM results in lower measurement error - its performance approaches to that of another high-complex method.

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Lau KH, Song J. Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided. In Ovsyannikova A, Kapralova V, editors, Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023. 2023. p. 108-111. (Proceedings of the 2023 International Conference on Electrical Engineering and Photonics, EExPolytech 2023). doi: 10.1109/EExPolytech58658.2023.10318620

Single-Snapshot Time-of-Arrival Estimation by OANM in a MU-MIMO System with Prior Information Aided

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