Generalized approximate message passing based SrCMA satellite receiver

Le YU; Lidong ZHU; Liang JIN; Jiali LI; Yilun LIU; Cheng GUO

doi:10.11959/j.issn.1000-0801.2022077

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Generalized approximate message passing based SrCMA satellite receiver

Topic: Satellite Network | 更新时间：2024-06-05

- Generalized approximate message passing based SrCMA satellite receiver
- Telecommunications Science Vol. 38, Issue 4, Pages: 77-89(2022)
- 作者机构：
  
  1. 电子科技大学通信抗干扰技术国家级重点实验室，四川成都 611731
  2. 航天恒星科技有限公司，北京 100095
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022077
  CLC： TN92
- Published Online：2022-04，
  
  Published：20 April 2022
- 稿件说明：
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Le YU, Lidong ZHU, Liang JIN, et al. Generalized approximate message passing based SrCMA satellite receiver[J]. Telecommunications science, 2022, 38(4): 77-89.
DOI：

Le YU, Lidong ZHU, Liang JIN, et al. Generalized approximate message passing based SrCMA satellite receiver[J]. Telecommunications science, 2022, 38(4): 77-89. DOI： 10.11959/j.issn.1000-0801.2022077.

摘要

为了解决卫星互联网中各类终端设备对传输速率和频谱资源的需求剧增问题，针对非正交多址卫星互联网，设计了一种基于广义近似消息传递的优化卫星接收机。考虑非正交多址中的多用户检测，基于图模型建立因子图，利用因子图建立系统的消息传递模型并提出消息传递算法。基于广义近似消息传递算法，进一步降低传统基于消息传递的多用户检测器的复杂度。在卫星环境下，研究广义近似消息传递信号接收性能。仿真结果表明，所提算法能有效地解决星地之间的多用户信号共存问题，同时降低算法的运算复杂度。

Abstract

In order to satisfy the requirements of the transmission rate and spectrum resource for various terminals and equipment in the satellite internet

a generalized approximation-based message passing optimization satellite receiver was designed.Considering the multi-user detection in the satellite network using the non-orthogonal multiple access

a factor graph was established based on the graph model

and the factor graph was used to analyze the message passing model of the system and a message passing algorithm was proposed.Based on the generalized approximate message passing method

the complexity of the traditional multi-user detector based on message passing was further reduced.Under satellite channel condition

generalized approximate messaging satellite receivers were studied.The simulation results show that the proposed algorithm can effectively solve the signal coexistence problem of multi-users

and reduce the computational complexity of the algorithm.

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references

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