1. 军械工程学院信息工程系,河北,石家庄,050003
2. 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
3. 军械工程学院信息工程系,河北,石家庄,050003
4. 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
网络出版:2016-07-25,
纸质出版:2016
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刘建成, 全厚德, 赵宏志, 等. 基于迭代变步长LMS的数字域自干扰对消[J]. 电子学报, 2016,44(7):1530-1538.
LIU Jian-cheng, QUAN Hou-de, ZHAO Hong-zhi, et al. Digital Self-Interference Cancellation Based on Iterative Variable Step-Size LMS[J]. Acta Electronica Sinica, 2016, 44(7): 1530-1538.
刘建成, 全厚德, 赵宏志, 等. 基于迭代变步长LMS的数字域自干扰对消[J]. 电子学报, 2016,44(7):1530-1538. DOI: 10.3969/j.issn.0372-2112.2016.07.002.
LIU Jian-cheng, QUAN Hou-de, ZHAO Hong-zhi, et al. Digital Self-Interference Cancellation Based on Iterative Variable Step-Size LMS[J]. Acta Electronica Sinica, 2016, 44(7): 1530-1538. DOI: 10.3969/j.issn.0372-2112.2016.07.002.
针对同时同频全双工(Co-frequency and Co-time Full Duplex
CCFD)系统已有的数字域干扰对消方法收敛速度慢和对消比低的问题
本文提出了迭代变步长最小均方(Least Mean Square
LMS)算法
利用该算法实现了快速收敛的高对消比数字域干扰对消.首先
改进Logistic函数
缩短其函数值由大至小的变化区间
再利用该非线性函数计算随迭代次数变化的步长因子值
从而加快干扰对消的收敛速度
高精度递推估计自干扰信道参数
即获得高的对消比.最后
理论分析了该对消方法收敛性和计算复杂度
得到了稳态条件下对消比的闭合表达式.仿真表明
该方法与已有变步长LMS对消方法相比
对消比可增加6dB以上
收敛速度可提高1倍
与最小二乘信道估计干扰对消方法相比
对消比提高了至少10dB.
Recently
the co-frequency co-time full duplex (CCFD) has been widely studied for its higher spectral efficiency.However
it must avoid the strong co-channel self-interference to put this technology into practice
and the existing digital interference cancellation methods usually have slow convergence and small cancellation-ratio.Considering this obstacle
the digital cancellation method based on iterative variable step-size least mean square algorithm (IVSSLMS) is proposed in this paper.Firstly
the function of Logistic is modified to accelerate its tendency for value changing lower.Then
the iterative variable step-size is obtained through the modified nonlinear function.Consequently
convergence of interference cancellation is speeded up
and accurate parameters of self-interference channel are estimated to achieve high cancellation-ratio is derited.Finally
the convergence and complexity of this digital interference cancellation method are analyzed and the closed expression of steady-state cancellation-ratio is derived.Simulations verify that the cancellation-ratio of this method could achieve more than 6dB and 10dB in comparison with the existing variable step-size LMS methods and cancellation method based on least square channel estimation respectively
and the convergence speed could be enhanced doubled.
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