低轨卫星通信系统波束成形算法

王海旺; 黄晨光; 邹诚; 邵丰伟; 常家超; 李国通

doi:10.11959/j.issn.2096-8930.2022015

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低轨卫星通信系统波束成形算法

专题：卫星互联网空间载荷 | 更新时间：2024-06-03

- 低轨卫星通信系统波束成形算法
- Beamforming Algorithm of LEO Satellite Communication System
- 天地一体化信息网络 2022年3卷第2期页码：3-11
- 作者机构：
  
  1. 中国科学院微小卫星创新研究院，上海 201203
  2. 中国科学院大学，北京 100049
  3. 上海科技大学，上海 201210
- 作者简介：
  
  [ "王海旺（1997-），男，中国科学院微小卫星创新研究院硕士生，主要研究方向为宽带数字相控阵" ]
  [ "黄晨光（1997-），男，中国科学院微小卫星创新研究院硕士生，主要研究方向为宽带多波束数字预失真" ]
  [ "邹诚（1995-），男，中国科学院微小卫星创新研究院博士生，主要研究方向为低轨卫星通信系统干扰规避" ]
  [ "邵丰伟（1992-），男，中国科学院微小卫星创新研究院高级工程师，主要研究方向为低轨卫星通信系统载荷设计" ]
  [ "常家超（1989-），男，中国科学院微小卫星创新研究院副研究员，主要研究方向为卫星导航技术、低轨卫星通信技术" ]
  [ "李国通（1970-），男，中国科学院微小卫星创新研究院研究员，博士生导师，主要研究方向为卫星导航和卫星通信" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-8930.2022015
  中图分类号： TP393
- 网络出版日期：2022-06，
  
  纸质出版日期：2022-06-20
- 稿件说明：
移动端阅览
王海旺, 黄晨光, 邹诚, 等. 低轨卫星通信系统波束成形算法[J]. 天地一体化信息网络, 2022,3(2):3-11.

Haiwang WANG, Chenguang HUANG, Cheng ZOU, et al. Beamforming Algorithm of LEO Satellite Communication System[J]. Space-integrated-ground information networks, 2022, 3(2): 3-11.
王海旺, 黄晨光, 邹诚, 等. 低轨卫星通信系统波束成形算法[J]. 天地一体化信息网络, 2022,3(2):3-11. DOI： 10.11959/j.issn.2096-8930.2022015.

Haiwang WANG, Chenguang HUANG, Cheng ZOU, et al. Beamforming Algorithm of LEO Satellite Communication System[J]. Space-integrated-ground information networks, 2022, 3(2): 3-11. DOI： 10.11959/j.issn.2096-8930.2022015.

摘要

宽带卫星互联网的迅速发展使得卫星通信进入新纪元，大规模低轨卫星星座的建立使得频谱资源逐渐饱和，频率使用的高度重合导致各个卫星通信系统间存在严重的干扰问题。卫星载荷通常使用相控阵天线进行通信，通过收发端波束成形来降低系统干扰。在接收端采用自适应波束成形算法，通过自适应调零来抑制干扰；在发送端采用低旁瓣波束成形算法，通过对旁瓣施加特定的约束压低旁瓣电平来降低干扰。针对地面接收端和卫星发送端分别分析3种抗干扰波束成形算法，为降低卫星通信系统的干扰问题提供波束层面的方法。

Abstract

The rapid development of broadband satellite internet has brought satellite communication into a new era.The establishment of large-scale low-orbit satellite constellations has gradually saturated spectrum resources

and the high overlap in frequency use has led to serious interference problems between satellite communication systems.Satellite payloads typically communicate using phased-array antennas

which reduce interference by beamforming at the receiving and transmitting ends.The adaptive beamforming algorithm was used at the receiving end to suppressed interference by adaptive zeroing; The low sidelobe beamforming algorithm was used at the transmitting end

which reduced the interference by imposing specifi c constraints on the sidelobes to suppressed the sidelobe level.Three anti-jamming beamforming algorithms were introduced for the ground receiving end and the satellite sending end respectively

which provided a beamlevel method for reduced the interference between satellite communication systems.

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references

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