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浙江大学学报(工学版)
浙江大学学报(工学版)  2022, Vol. 56 Issue (10): 1977-1986    DOI: 10.3785/j.issn.1008-973X.2022.10.009
自动化技术、信息工程     
基于扩频信号的数字广义线性自干扰消除器
徐天晴1,2(),宋仁庭3,黄家骏1,2,张朝杰1,2,*()
1. 浙江省微纳卫星研究重点实验室，浙江 杭州 310027
2. 浙江大学 微小卫星研究中心，浙江 杭州 310027
3. 中国西安卫星测控中心，陕西 西安 710043
Digital widely linear self-interference canceller based on spread spectrum signal
Tian-qing XU1,2(),Ren-ting SONG3,Jia-jun HUANG1,2,Chao-jie ZHANG1,2,*()
1. Zhejiang Key Laboratory of Micro-Nano Satellite Research, Hangzhou 310027, China
2. Micro-satellite Research Center, Zhejiang University, Hangzhou 310027, China
3. China Xi’an Satellite Control Center, Xi’an 710043, China
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摘要：

针对带内全双工系统中的自干扰信号问题，设计有效的数字域消除方案. 分析自干扰信号中各分量的功率量级，针对I/Q不平衡引起的镜像分量，设计基于广义线性模型的数字域LMS自干扰消除器. 为了提高自干扰消除性能，引入扩频伪码，以加强自干扰信号和有用信号间的非相关性. 仿真结果表明，设计的数字域消除器具备在不同镜像抑制比条件下对镜像分量的重建和抵消能力. 引入扩频伪码，能够减小滤波器误差向量中因信号相关性导致的估计噪声，仿真中最高获得了7.5 dB的消除量提升. 在不同输入信干比的条件下，采用广义线性模型和引入扩频伪码，均提升了数字域消除器的性能.
关键词： 带内全双工;  自干扰消除;  广义线性模型;  扩频;  自适应滤波器    
Abstract:

The effective digital domain cancellation method was designed for the self-interference in an in-band full-duplex system. The power level of each component in self-interference was analyzed. A digital LMS self-interference canceller based on widely linear model was designed aiming at the image signal caused by I/Q imbalance. Spread spectrum pseudo noise code was utilized to strengthen the non-correlation between self-interference and signal of interest for cancellation improvement. The simulation results demonstrate that the designed digital canceller possesses the ability to reconstruct and cancel the image signal for different image rejection ratios. Estimation noise caused by signal correlation in error vector of the LMS filter was reduced due to the utilization of spread spectrum pseudo noise code. A maximum cancellation gain of 7.5 dB was obtained in the simulation. The performance of the digital canceller was improved owing to the utilization of either widely linear model or pseudo noise code for different input signal-to-interference ratios.
Key words: in-band full-duplex    self-interference cancellation    widely linear model    spread spectrum    adaptive filter
收稿日期: 2021-10-26 出版日期: 2022-10-25
CLC:  TN 91  
基金资助: 国家自然科学基金资助项目(62073289)
通讯作者: 张朝杰     E-mail: xutq@zju.edu.cn;zhangcj@zju.edu.cn
作者简介: 徐天晴（1995—），男，硕士生，从事卫星通信的研究. orcid.org/0000-0002-0206-6746. E-mail： xutq@zju.edu.cn
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引用本文:

徐天晴,宋仁庭,黄家骏,张朝杰. 基于扩频信号的数字广义线性自干扰消除器[J]. 浙江大学学报(工学版), 2022, 56(10): 1977-1986.

Tian-qing XU,Ren-ting SONG,Jia-jun HUANG,Chao-jie ZHANG. Digital widely linear self-interference canceller based on spread spectrum signal. Journal of ZheJiang University (Engineering Science), 2022, 56(10): 1977-1986.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2022.10.009    或    https://www.zjujournals.com/eng/CN/Y2022/V56/I10/1977

图 1  基于扩频信号的IBFD零中频收发机架构
图 2  IBFD系统中各信号分量功率量级
参数 含义 参数 含义
$ {P}_{{\rm{T}}} $ 发射功率 $ {{\rm{SIC}}}_{{\rm{P}}} $ 传播域自干扰消除量
$ {P}_{{\rm{SI}}} $ SI信号功率 ${ {\rm{SIC}}}_{{\rm{A}}} $ 模拟域自干扰消除量
$ {P}_{{\rm{SI}},{\rm{ADC}}} $ ADC输入SI信号功率 $ {\rm{SIC}}_{{\rm{D}}} $ 数字域自干扰消除量
$ {P}_{{\rm{SI}},{\rm{Res}}} $ 残余SI信号功率 $ {{\rm{SNR}}}_{{\rm{HD}}} $ 半双工系统信噪比
$ {P}_{{\rm{SOI}}} $ 有用信号功率 ${ {\rm{NF}}}_{{\rm{R}}} $ 接收机噪声系数
$ \mathrm{Q}\mathrm{N}\mathrm{F} $ 量化噪底 $ {\rm{BW}} $ 接收机带宽
表 1  IBFD系统参数
图 3  简化的自干扰信道
信号分量 中间信号中各分量功率/dBm
$ {x}_{{\rm{Mixer}}}\left(t\right) $ $ {x}_{{\rm{PA}}}\left(t\right) $ $ {y}_{{\rm{RF}}}\left(t\right) $ $ {y}_{{\rm{Mixer}}}\left(t\right) $
$ {P}_{{{\rm{SI}}}_{{\rm{base}}}} $ $ {P}_{{\rm{in}}} $ $ {P}_{{\rm{out}}} $ $ {P}_{{\rm{out}}}-{{\rm{SIC}}}_{{\rm{P}}+{\rm{A}}} $ ${P}_{ {\rm{out} } }-{ {\rm{SIC} } }_{ {\rm{P} }+{\rm{A} } } ,$
$ {P}_{{\rm{out}}}-{{\rm{IRR}}}_{{\rm{TX}}}-{{\rm{SIC}}}_{{\rm{P}}+{\rm{A}}}-{{\rm{IRR}}}_{{\rm{RX}}} $
$ {P}_{{{\rm{SI}}}_{{\rm{im}}}} $ $ {P}_{{\rm{in}}}-{{\rm{IRR}}}_{{\rm{TX}}} $ $ {P}_{{\rm{out}}}-{{\rm{IRR}}}_{{\rm{TX}}} $ $ {P}_{{\rm{out}}}-{{\rm{IRR}}}_{{\rm{TX}}}-{{\rm{SIC}}}_{{\rm{P}}+{\rm{A}}} $ ${P}_{ {\rm{out} } }-{ {\rm{IRR} } }_{ {\rm{TX} } }-{ {\rm{SIC} } }_{ {\rm{P} }+{\rm{A} } } ,$
$ {P}_{{\rm{out}}}-{{\rm{SIC}}}_{{\rm{P}}+{\rm{A}}}-{{\rm{IRR}}}_{{\rm{RX}}} $
$ {P}_{{\rm{IMD}}} $ ? $ 3{P}_{{\rm{out}}}-2{{\rm{IIP}}}_{3}-2{G}_{{\rm{PA}}} $ $3{P}_{ {\rm{out} } }-2{{\rm{IIP}}}_{3}-2{G}_{ {\rm{PA} } }-{ {\rm{SIC} } }_{ {\rm{P} }+{\rm{A} } }$ $3{P}_{ {\rm{out} } }-2{{\rm{IIP}}}_{3}-2{G}_{ {\rm{PA} } }-{ {\rm{SIC} } }_{ {\rm{P} }+{\rm{A} } }$
${P}_{ { {\rm{IMD} } }_{{\rm{im}}} }$ ? ? ? $3{P}_{ {\rm{out} } }-2{{\rm{IIP}}}_{3}-2{G}_{ {\rm{PA} } }-{ {\rm{SIC} } }_{ {\rm{P} }+{\rm{A} } }-{ {\rm{IRR} } }_{ {\rm{RX} } }$
表 2  SI信号中各分量功率
图 4  经传播域和模拟域消除后自干扰信号中各分量功率
图 5  LMS自适应滤波器的原理图
图 6  基于广义线性模型的LMS消除器
参数 数值
信号带宽 10.23 MHz
接收机噪声系数 4 dB
接收机输入噪声功率 ?103.9 dBm
发射信号功率 20 dBm
有用信号功率 ?80.0 dBm
PA增益 27 dB
PA IIP3 20 dBm
低噪声放大器增益 15 dB
IRR（TX和RX） 可变
ADC位数 14 bit
伪随机码 Gold码
码长 1023
${ {\rm{SIR} } }_{{\rm{in}}}$ ?50 ~ ?15 dB
$ {M}_{{\rm{pre}}} $ 45
$ {M}_{{\rm{post}}} $ 15
LMS滤波器步长初值 0.01（ $ {{\rm{SI}}}_{{\rm{base}}} $分量）
0.0005（ $ {{\rm{SI}}}_{{\rm{im}}} $分量）
表 3  IBFD收发机的参数
图 7  不同IRR条件下的消除量
图 8  不同 $ {\rm{SIR}}_{\rm{in}} $条件下的消除量
图 9  有、无扩频信号时的LMS滤波器输出与理想有用信号
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