Multi Beam Forming Algorithms of LEO Constellation Satellite

Bingyu Xie; Mingchuan Yang

doi:10.1007/978-3-030-66785-6_40

Multi Beam Forming Algorithms of LEO Constellation Satellite

Bingyu Xie^*
, Mingchuan Yang

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

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

Abstract

Since the 21st century, the development of mobile Internet and Internet of things technology has introduced new development opportunities for the field of communication satellites. A large number of researchers use multi beam technology in low earth orbit high-throughput satellite constellation to improve the performance of Internet of things services. In this paper, the development prospect of low orbit high-throughput communication satellite and the research significance of multibeam technology are summarized firstly, then some key technologies involved in the beamforming process are discussed, and the mathematical model of multibeam forming network is established with digital beamforming as the background. Then, the theory of beamforming criterion and algorithm is analyzed, and the least mean square algorithm and recursive least square algorithm are studied in detail. Finally, a variable step size least mean square algorithm is proposed and the simulation results are compared with those before the improvement, which can guide the selection of multi beam forming algorithm on the satellite.

Original language	English
Title of host publication	Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings
Editors	Mingxiang Guan, Zhenyu Na
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	380-388
Number of pages	9
ISBN (Print)	9783030667849
DOIs	https://doi.org/10.1007/978-3-030-66785-6_40
State	Published - 2021
Event	5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020 - Shenzhen, China Duration: 26 Sep 2020 → 27 Sep 2020

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	342
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020
Country/Territory	China
City	Shenzhen
Period	26/09/20 → 27/09/20

Keywords

Adaptive algorithm
Beamforming technology
LEO satellite
LMS algorithm
Variable step-size

Access to Document

10.1007/978-3-030-66785-6_40

Cite this

Xie, B., & Yang, M. (2021). Multi Beam Forming Algorithms of LEO Constellation Satellite. In M. Guan, & Z. Na (Eds.), Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings (pp. 380-388). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 342). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-66785-6_40

Xie, Bingyu ; Yang, Mingchuan. / Multi Beam Forming Algorithms of LEO Constellation Satellite. Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings. editor / Mingxiang Guan ; Zhenyu Na. Springer Science and Business Media Deutschland GmbH, 2021. pp. 380-388 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Multi Beam Forming Algorithms of LEO Constellation Satellite",

abstract = "Since the 21st century, the development of mobile Internet and Internet of things technology has introduced new development opportunities for the field of communication satellites. A large number of researchers use multi beam technology in low earth orbit high-throughput satellite constellation to improve the performance of Internet of things services. In this paper, the development prospect of low orbit high-throughput communication satellite and the research significance of multibeam technology are summarized firstly, then some key technologies involved in the beamforming process are discussed, and the mathematical model of multibeam forming network is established with digital beamforming as the background. Then, the theory of beamforming criterion and algorithm is analyzed, and the least mean square algorithm and recursive least square algorithm are studied in detail. Finally, a variable step size least mean square algorithm is proposed and the simulation results are compared with those before the improvement, which can guide the selection of multi beam forming algorithm on the satellite.",

keywords = "Adaptive algorithm, Beamforming technology, LEO satellite, LMS algorithm, Variable step-size",

author = "Bingyu Xie and Mingchuan Yang",

note = "Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020 ; Conference date: 26-09-2020 Through 27-09-2020",

year = "2021",

doi = "10.1007/978-3-030-66785-6\_40",

language = "英语",

isbn = "9783030667849",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Mingxiang Guan and Zhenyu Na",

booktitle = "Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings",

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}

Xie, B & Yang, M 2021, Multi Beam Forming Algorithms of LEO Constellation Satellite. in M Guan & Z Na (eds), Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 342, Springer Science and Business Media Deutschland GmbH, pp. 380-388, 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, Shenzhen, China, 26/09/20. https://doi.org/10.1007/978-3-030-66785-6_40

Multi Beam Forming Algorithms of LEO Constellation Satellite. / Xie, Bingyu; Yang, Mingchuan.
Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings. ed. / Mingxiang Guan; Zhenyu Na. Springer Science and Business Media Deutschland GmbH, 2021. p. 380-388 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 342).

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

TY - GEN

T1 - Multi Beam Forming Algorithms of LEO Constellation Satellite

AU - Xie, Bingyu

AU - Yang, Mingchuan

PY - 2021

Y1 - 2021

N2 - Since the 21st century, the development of mobile Internet and Internet of things technology has introduced new development opportunities for the field of communication satellites. A large number of researchers use multi beam technology in low earth orbit high-throughput satellite constellation to improve the performance of Internet of things services. In this paper, the development prospect of low orbit high-throughput communication satellite and the research significance of multibeam technology are summarized firstly, then some key technologies involved in the beamforming process are discussed, and the mathematical model of multibeam forming network is established with digital beamforming as the background. Then, the theory of beamforming criterion and algorithm is analyzed, and the least mean square algorithm and recursive least square algorithm are studied in detail. Finally, a variable step size least mean square algorithm is proposed and the simulation results are compared with those before the improvement, which can guide the selection of multi beam forming algorithm on the satellite.

AB - Since the 21st century, the development of mobile Internet and Internet of things technology has introduced new development opportunities for the field of communication satellites. A large number of researchers use multi beam technology in low earth orbit high-throughput satellite constellation to improve the performance of Internet of things services. In this paper, the development prospect of low orbit high-throughput communication satellite and the research significance of multibeam technology are summarized firstly, then some key technologies involved in the beamforming process are discussed, and the mathematical model of multibeam forming network is established with digital beamforming as the background. Then, the theory of beamforming criterion and algorithm is analyzed, and the least mean square algorithm and recursive least square algorithm are studied in detail. Finally, a variable step size least mean square algorithm is proposed and the simulation results are compared with those before the improvement, which can guide the selection of multi beam forming algorithm on the satellite.

KW - Adaptive algorithm

KW - Beamforming technology

KW - LEO satellite

KW - LMS algorithm

KW - Variable step-size

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U2 - 10.1007/978-3-030-66785-6_40

DO - 10.1007/978-3-030-66785-6_40

M3 - 会议稿件

AN - SCOPUS:85101543621

SN - 9783030667849

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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BT - Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings

A2 - Guan, Mingxiang

A2 - Na, Zhenyu

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020

Y2 - 26 September 2020 through 27 September 2020

ER -

Xie B, Yang M. Multi Beam Forming Algorithms of LEO Constellation Satellite. In Guan M, Na Z, editors, Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 380-388. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-66785-6_40

Multi Beam Forming Algorithms of LEO Constellation Satellite

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