通信学报 ›› 2015, Vol. 36 ›› Issue (4): 52-57.doi: 10.11959/j.issn.1000-436x.2015122

• 学术论文 • 上一篇    下一篇

虚拟多参考输入自适应同址干扰抵消算法

谢跃雷1,刘洁1,李民政1,欧阳缮2,廖桂生1   

  1. 1 桂林电子科技大学 信息与通信学院,广西 桂林 541004
    2 西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安 710071
  • 出版日期:2015-04-25 发布日期:2015-04-15
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;广西自然科学基金资助项目;广西无线宽带通信与信号处理重点实验室主任基金资助项目

Adaptive co-site interference cancellation algorithm with multiple virtual references

Yue-lei XIE1,Jie LIU1,Min-zheng LI1,Shan OUYANG2,Gui-sheng LIAO1   

  1. 1 School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China
    2 National Lab of Radar Signal Processing,Xidian University,Xi’an 710071,China
  • Online:2015-04-25 Published:2015-04-15
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Guangxi Province;Guangxi Key Lab of Wireless Wideband Communication &Signal Processing Foundation

摘要:

针对同一空间内相邻发射机对接收机产生的同址干扰,将接收信号过采样后虚拟出多路参考信号并与两级自适应滤波器相结合,构成了一种虚拟多参考输入自适应同址干扰抵消算法。通过在接收纯干扰信号阶段调整第一阶滤波器的权系数,接收信号中包含有用信号时调整第二阶滤波器的系数,实现消除同址干扰恢复有用信号的功能。仿真结果表明,所提同址干扰抵消算法与传统算法相比,在简化了耦合装置的同时,也具有更好的同址干扰抑制效果。

关键词: 同址干扰, 过采样, 虚拟多参考信号, 自适应滤波

Abstract:

Wireless radio communication is usually deteriorated by co-site interferences produced by collocated transmitters.A two-stage adaptive filter with multiple virtual references that drew from over sampled receiving signal is proposed to cancel the co-site interferences.Co-site interferences can be cancelled and the desired signal can be recovered by adjusting the weights of the first filter when pure interferences are received and adjusting the weights of the second filter when the desired signal is consisted in received signals.The simulation results show that the proposed adaptive co-site interferences cancellation algorithm without the coupling device can achieve better performance than traditional algorithms.

Key words: co-site interference, oversampling, virtual multiple references, adaptive filtering

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