摘要
作为解决频谱资源枯竭问题的同时同频全双工通信面临的主要问题是自干扰抑制。由于数字域远强于天线域和模拟域的信号处理能力,研究数字域自干扰抑制方法,以常用的信道估计算法RLS作为自干扰信道的信道估计算法,并分析其自干扰抑制能力、误码率,并与其他信道估计算法作比较。通过MATLAB对系统模型进行建模与仿真,仿真结果表明随着干信比的增大,RLS自干扰信道估计的数字自干扰抑制算法的自干扰抑制能力越强;随着干扰抑制后信干比的增大,RLS自干扰信道估计的数字自干扰抑制算法下误码率越来越低;随着滤波器阶数的增大,RLS自干扰信道估计的数字自干扰抑制算法自干扰抑制能力增大,误码率减小;在同一条件下,RLS自干扰信道估计的数字自干扰抑制算法自干扰抑制能力,误码率优于VSSLMS、LMS、SSLMS,但其收敛速度较慢,复杂度较大。
As a solution to the problem of depletion of spectrum resources,the main problem facing simultaneous full-duplex communications is self-interference suppression.Since the digital domain is much stronger than the signal processing capability of the antenna domain and analog domain,this paper studies the self-interference suppression method in the digital domain.The common channel estimation algorithm RLS is used as the channel estimation algorithm of the self-interference channel,and its self-interference suppression ability is analyzed.,error rate,and compared with other channel estimation algorithms.The model of the system is modeled and simulated by MATLAB,and analyze the results.The simulation results show that the self-interference suppression ability of RLS self-interference channel estimation’s digital selfinterference suppression algorithm algorithm increases with the increase of ISR.As the SIR increases after interference suppression,the bit error rate becomes lower and lower under RLS self-interference channel estimation’s digital self-interference suppression algorithm.;as the filter order increases,the self-interference suppression ability of RLS self-interference channel estimation’s digital self-interference suppression algorithm increases,and the bit error rate decreases;under the same conditions,the RLS digital self-interference suppression algorithm’s self-interference suppression capability,the bit error rate is better than VSSLMS,LMS,SSLMS,but its slower convergence and greater complexity.
作者
耿敏
陈启兴
薛雅娟
Geng Min;Chen Qi-xing;Xue Ya-juan(College of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225,China)
出处
《成都信息工程大学学报》
2018年第6期639-644,共6页
Journal of Chengdu University of Information Technology
基金
国家自然科学基金资助项目(41404102)
