西安电子科技大学学报 ›› 2025, Vol. 52 ›› Issue (3): 111-122.doi: 10.19665/j.issn1001-2400.20250305

• 第二十七届中国科协年会——6G技术创新与未来产业发展 • 上一篇    下一篇

多天线辅助同时同频非合作干扰抑制技术研究

段柏宇1,2(), 李维实1,2(), 李彤1,2(), 潘文生1,2(), 邵士海1,2()   

  1. 1.电子科技大学 通信抗干扰全国重点实验室,四川 成都 611731
    2.电磁空间认知与智能控制技术实验室,北京 100089

Method for co-time and co-frequency mutual interference suppression assisted with multiple antennas

DUAN Baiyu1,2(), LI Weishi1,2(), LI Tong1,2(), PAN Wensheng1,2(), SHAO Shihai1,2()   

  1. 1. National Key Laboratory of Wireless Communications,University of Electronic Science and Technology of China,Chengdu 611731,China
    2. Laboratory of Electromagnetic Space Cognition and Intelligent Control,Beijing 100089,China
  • Received:2024-12-03 Online:2025-06-20 Published:2025-03-18

摘要:

随着无线通信与感知设备数量的急速增长,设备间的互干扰问题日益严重。较强的同频互干扰将抬升接收机底噪,显著影响接收机的通信、感知性能。利用干扰发射信号与期望发射信号间的不相关特性,针对非自适应阵列或单天线接收机,提出一种多天线辅助同时同频非合作互干扰抑制算法。所提干扰抑制算法无需信道估计,利用期望信号的静默周期,基于最大输出信干噪比准则求解最优权值。依据定义的信干噪比增益,推导了所提算法的性能上界,以及算法中自相关矩阵的解析表达式。数值仿真结果表明,与需要进行信道估计的干扰抑制算法相比,所提算法在连续高功率互干扰场景下,干扰抑制性能提升显著。此外,算法的干扰抑制性能与辅助接收天线个数、干扰及用户信道中直射分量的强度强相关,并受用户源、干扰源以及接收阵列位置拓扑的影响。最后,实验结果证明了所提算法的有效性,表明该算法可显著提高在同时同频非合作互干扰场景下接收机的通信性能,具备工程实现价值。

关键词: 通信系统, 干扰抑制, 辅助天线阵列, 最大输出信干噪比, 信号处理

Abstract:

With the rapid increase in the number of wireless communication and sensing devices,the problem of mutual interference among devices becomes more and more severe.Strong in-band mutual interference increases the noise level of receivers,significantly affecting communication and sensing performance.In this paper,by exploiting the uncorrelation between the interference and desired signals,a suppression method of co-time and co-frequency mutual interference with the aid of multiple antennas is proposed for non-adaptive arrays or single antenna receivers.The proposed scheme does not rely on channel estimation.It uses the silence period of the desired signal to solve the optimal weights based on the maximum signal-to-interference-plus-noise ratio (SINR) criterion.According to the defined SINR gain,the upper bound of the proposed method and the analytical expression for the autocorrelation matrix in the method are derived.Numerical simulation results show that compared with the interference suppression algorithm that requires channel estimation,the proposed method can significantly improve the interference suppression performance in the continuous high-power mutual interference scenario.Additionally,the interference suppression performance of the proposed method is strongly related to the number of auxiliary antennas and the strength of the light-of-sight components in both interference and desired channels.Moreover,it is also influenced by the location topology of the desired signal sources,interference sources,and receiving array.Experimental results prove the effectiveness of the proposed method,indicating that it can significantly improve the communication performance of the receiver under the co-time and co-frequency mutual interference scenario and is of practical engineering value.

Key words: communication systems, interference suppression, auxiliary antenna array, maximum signal-to-interference-plus-noise ratio, signal processing

中图分类号: 

  • TN911.7