摘要
为了利用自适应滤波器抵消转发与接收天线间的反馈干扰,根据卷积型混合与独立分量分析ICA解混的原理,将反馈干扰抵消问题纳入了ICA方法的框架中。针对亚高斯复值信号的特点,依据极小化互信息的准则,提出了一种基于复数ICA的自适应算法,简要分析了算法收敛的平衡点并据此给出了新的干扰抵消器的结构。计算机仿真结果表明,相比于LMS算法,所提的算法在反馈信道辨识误差以及输出信号的误差矢量幅度方面有明显的改善。
Feedback interference cancelling by using adaptive filters is one of the core technologies of wireless repeaters. The problem was summed up into the framework of ICA in terms of the ICA demixing principle of convolutive mixtures. Aiming at complex signals' subgaussian feature, an adaptive algorithm based on complex ICA was proposed according to minimization of mutual information criterion. The convergence equilibrium point of the proposed algorithm was briefly analyzed and a new structure of interference cancel- ler presented accordingly. Computer simulation demonstrated that the proposed algorithm had obvious performance improvement over conventional LMS in the identification error of feedback path and of the error vector magnitude the output signals'.
出处
《解放军理工大学学报(自然科学版)》
EI
北大核心
2011年第3期211-216,共6页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
国家863计划资助项目(2007AA01Z267)
福建省重大专项基金资助项目(2009HZ0003-1)
福建省教育厅科技项目(JA10251)
关键词
无线直放站
反馈干扰抵消
独立分量分析
自适应滤波器
independent component analysis
adaptive filters
wireless repeaters
feedback interference cancelling.