A Novel Self-Interference Cancellation Algorithm Using Multi-Antenna Beamforming in Full-Duplex System

WU Fei; SHAO Shi-hai; TANG You-xi

doi:10.3969/j.issn.0372-2112.2017.01.002

您当前的位置：

首页 >

文章列表页 >

A Novel Self-Interference Cancellation Algorithm Using Multi-Antenna Beamforming in Full-Duplex System

更新时间：2025-07-16

- A Novel Self-Interference Cancellation Algorithm Using Multi-Antenna Beamforming in Full-Duplex System
- Acta Electronica Sinica Vol. 45, Issue 1, Pages: 8-15(2017)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2017.01.002
  CLC： TN92
- Published Online：25 January 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
WU Fei, SHAO Shi-hai, TANG You-xi. A Novel Self-Interference Cancellation Algorithm Using Multi-Antenna Beamforming in Full-Duplex System[J]. Acta Electronica Sinica, 2017, 45(1): 8-15.
DOI：

WU Fei, SHAO Shi-hai, TANG You-xi. A Novel Self-Interference Cancellation Algorithm Using Multi-Antenna Beamforming in Full-Duplex System[J]. Acta Electronica Sinica, 2017, 45(1): 8-15. DOI： 10.3969/j.issn.0372-2112.2017.01.002.

摘要

针对同时同频全双工无线通信系统，当基站采用多根发射天线和多根接收天线进行自干扰抵消时，现有技术多集中于自干扰迫零，缺少对发射机射频噪声抑制的研究.本文在考虑射频噪声抑制的基础上，提出一种收发波束联合成形算法，算法首先以信干噪比最大化为原则，优化接收机天线波束成形向量，给出了算法求解表达式；其次以自干扰最小化为原则，优化发射机天线波束成形向量，给出了算法步骤.仿真结果表明，本文算法在发射机信噪比为30.0dB和60.0dB时，3发3收基站的自干扰抵消值分别为65.5dB和89.8dB，与SVD迫零技术相比，分别有25.5dB和19.8dB的性能改善.

Abstract

The existing studies focus mainly on the zero forcing of self-interference without the suppression for the RF transmitter noise in the full-duplex base station with multiple transmit and receive antennas.Considering the suppression for the RF transmitter noise

this paper proposes a joint transmit and receive beamforming algorithm.First

we derive the analytical expression of the receiver beamforming vector based on the maximum signal-to-interference-noise ratio(SINR) criterion.The algorithm for designing the transmit beamforming vector is then given by minimizing self-interference.The simulation results show that when the signal-to-noise ratio(SNR) are 30dB and 60dB respectively

the values of the self-interference cancellation are 65.5dB and 89.8dB for the base station with three transmit and three receive antennas.Meanwhile

the corresponding improvement are 25.5dB and 19.8dB respectively compared to the SVD zero forcing scheme.

关键词

Keywords

references

Views

669

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Tensor Array Signal Processing for Structured Sparse Sensing

Research on Bidirectional Mobile Cross-Technology Communication Method Between WiFi and ZigBee

CR-GAN Complex Wireless Channel Modeling with Hidden Space Sampling and Hidden Feature Extraction

Fair Computation Offloading for a Multi-Antenna NOMA Aided Mobile Edge Computing Network

Secure Beamforming Algorithm for Satellite Communication in Multicast Transmission Mode

Related Author

ZHENG Hang

SHI Zhi-guo

WANG Yong

ZHOU Cheng-wei

LI Ming

XU Shan-zhi

YIN Yu-qing

YANG Xu

Related Institution

The Jinhua Institute of Zhejiang University

Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province

College of Information Science and Electronic Engineering, Zhejiang University

School of Computer Information Engineering， Qingdao City University

School of Computer Science and Technology， China University of Mining and Technology

⁰