基于二维正交化WLCLMS的自干扰对消方法

doi:10.12305/j.issn.1001-506X.2022.09.04

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (9): 2726-2735.doi: 10.12305/j.issn.1001-506X.2022.09.04

基于二维正交化WLCLMS的自干扰对消方法

崔中普^1,², 葛松虎^1,^2,*, 李亚星^1,², 郭宇^1,², 谢明亮^1,², 孟进^1,²

1. 海军工程大学军用电气科学与技术研究所, 湖北武汉 430033
2. 海军工程大学舰船综合电力技术国防科技重点实验室, 湖北武汉 430033

收稿日期:2021-12-23 出版日期:2022-09-01 发布日期:2022-09-01
通讯作者: 葛松虎
作者简介:崔中普(1993—), 男, 博士研究生, 主要研究方向为电磁干扰与防护|葛松虎(1988—), 男, 副研究员, 博士, 主要研究方向为通信信号处理、电磁兼容|李亚星(1988—), 男, 讲师, 博士, 主要研究方向为通信信号处理|郭宇(1989—), 男, 讲师, 博士, 主要研究方向为人工智能|谢明亮(1989—), 男, 研究实习员, 硕士, 主要研究方向为通信信号处理|孟进(1977—), 男, 研究员, 博士, 主要研究方向为电磁干扰与防护
基金资助:
国家自然科学基金(61801501);国家自然科学基金(61801502);国家自然科学基金(61801501, 61801502, 62001497);湖北省自然科学基金(ZRMS202001331)

Two-dimensional orthogonalization WLCLMS scheme for self-interference cancellation

Zhongpu CUI^1,², Songhu GE^1,^2,*, Yaxing LI^1,², Yu GUO^1,², Mingliang XIE^1,², Jin MENG^1,²

1. Institute of Military Electrical Science and Technology, Naval University of Engineering, Wuhan 430033, China
2. National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan 430033, China

Received:2021-12-23 Online:2022-09-01 Published:2022-09-01
Contact: Songhu GE

摘要/Abstract

摘要：

广义线性结构广泛用于解决共平台系统中同相/正交相位(in-phase/quadrature-phase, IQ)不平衡引起的自干扰镜像信号残留问题。由于在共轭项维度上的拓展, 输入信号间的相关性使得用于实现权值向量自适应更新的广义线性复数最小均方(widely linear complex least mean square, WLCLMS)算法出现明显的收敛速度下降。针对这一问题, 本文提出了一种二维正交化方法, 通过特征值分解实现输入信号在样本延时以及共轭项两个维度上的去相关。同时建立了包括格形预测器、基于梯度的白化器, 以及数字对消器三级结构的自适应二维正交化WLCLMS模型, 实现了时变环境中自干扰信号的实时跟踪。仿真结果表明, 该方法在有效提升收敛速度的同时, 有着稳定的稳态误差性能, 并且针对系统采样率、滤波器阶数、IQ不平衡量的变化具有良好的鲁棒性。

关键词: 共平台系统, 自干扰对消, 同相/正交相位不平衡, 广义线性复数最小均方, 二维正交化

Abstract:

Widely linear model has been adopted in co-site system to suppress the mirror self-interference due to in-phase/quadrature-phase (IQ) im-balance. Due to the extension in conjunction dimension, the widely linear complex least mean square (WLCLMS) will suffer from quickly-dropped convergence rate when the input signals are highly correlated. In this paper, a two-dimensional orthogonalization method based on eigen-decomposition is proposed to decouple the input signal vector on sample delay and conjunction dimension. Moreover, an adaptive two-dimensional orthogonalization scheme with a lattice predictor, a gradient-based whitener and a digital canceller is established, which enables to track self-interference signal in time-varying environment. The simulation results indicate that the proposed method is robust to the change of system sampling frequency, filter order and IQ imbalance quantity, and can effectively improve the convergence of WLCLMS while keeping an excellent steady-state performance.

Key words: co-site system, self-interference cancellation, in-phase/quadrature-phase (IQ) imbalance, widely linear complex least mean square (WLCLMS), two-dimensional orthogonalization

中图分类号:

TN911.7

崔中普, 葛松虎, 李亚星, 郭宇, 谢明亮, 孟进. 基于二维正交化WLCLMS的自干扰对消方法[J]. 系统工程与电子技术, 2022, 44(9): 2726-2735.

Zhongpu CUI, Songhu GE, Yaxing LI, Yu GUO, Mingliang XIE, Jin MENG. Two-dimensional orthogonalization WLCLMS scheme for self-interference cancellation[J]. Systems Engineering and Electronics, 2022, 44(9): 2726-2735.

图/表 7

图1

图2

图3

图4

图5

图6

图7

参考文献 30

1	SABHARWAL A , SCHNITER P . In-band full-duplex wireless: challenges and opportu-nities[J]. IEEE Journal on Selected Areas in Communications, 2014, 32 (5): 1637- 1652.
2	DUARTE M, SABHARWAL A. Full-duplex wireless communications using off-the-shelf radios: feasibility and first results[C]//Proc. of the 44th Asilomar Conference on Signals, and Computers, 2010: 1558-1562.
3	DUARTE M , DICK C , SABHARWAL A . Experiment-driven characterization of full-duplex wireless systems[J]. IEEE Trans. on Wireless Communications, 2012, 11 (12): 4296- 4307. doi: 10.1109/TWC.2012.102612.111278
4	BHARADIA D , MCMILIN E , KATTI S . Full duplex radios[J]. ACM Special Interest Group Data Communication Computation Communication, 2013, 43 (4): 375- 386.
5	LI Z , XIA Y L , PEI W J . An augmented nonlinear LMS for digital self-interference cancellation in full-duplex direct-conversion transceivers[J]. IEEE Trans.on Signal Processing, 2018, 66 (15): 4065- 4078. doi: 10.1109/TSP.2018.2846250
6	GE S H , XING J L , LIU Y C , et al. Dual-stage co-site RF interference canceller for wideband direct-conversion receivers using reduced observation chain[J]. IEEE Trans.on Electromagnetic Compatibility, 2020, 62 (3): 923- 932. doi: 10.1109/TEMC.2019.2914369
7	GE S H , MENG J , XING J L , et al. A digital-domain controlled nonlinear RF interference cancellation scheme for co-site wideband radios[J]. IEEE Trans.on Electromagn-etic Compatibility, 2019, 61 (5): 1647- 1653. doi: 10.1109/TEMC.2018.2871129
8	EVERETT E , SAHAI A , SABHARWAL A . Passive self-interference suppression for full-duplex infrastructure nodes[J]. IEEE Trans.on Wireless Communications, 2014, 13 (2): 680- 694. doi: 10.1109/TWC.2013.010214.130226
9	KRIER J, RAND I, AKYILDIZ F. Active self-interference cancellation of passband signal using gradient descent[C]//Proc. of the IEEE 24th Annual International Sympos-ium on Personal, Indoor, and Mobile Radio Communications, 2013: 1212-1216.
10	VOGT H , ENZNER G , SEZGIN A . State-space adaptive nonlinear self-interference can-cellation for full-duplex communication[J]. IEEE Trans.on Signal Processing, 2019, 67 (11): 2810- 2825. doi: 10.1109/TSP.2019.2910490
11	HONG S , BRAND J , CHOI J I , et al. Applications of self-interference cancellation in 5G and beyond[J]. IEEE Com-munications Magazine, 2014, 52 (2): 114- 121. doi: 10.1109/MCOM.2014.6736751
12	AHMED E , ELTAWIL M A . All-digital self-interference cancellation technique for full-duplex systems[J]. IEEE Trans.on Wire-less Communications, 2015, 14 (7): 3519- 3532. doi: 10.1109/TWC.2015.2407876
13	LI X, TEPEDELENLIOGLU C. Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays[C]//Proc. of the 49th Asilomar Conference on Signal, System and Computer, 2015: 807-811.
14	ZHANG L W, JIANG H J, LI F L, et al. A LUT-free DC offset calibration method for removing the FPGA gain-correlated offset residue[C]//Proc. of the IEEE International Symposium on Circuits and Systems, 2013: 1704-1707.
15	VALKAMA M , GHADAM A S H , ANTTILA L , et al. Advanced digital signal processing techniques for compensation of nonlinear distortion in wideband multicar-rier radio receivers[J]. IEEE Trans.on Microwave Theory and Techniques, 2006, 54 (6): 2356- 2366. doi: 10.1109/TMTT.2006.875274
16	KORPI D , ANTTILA L , SYRJALA V , et al. Widely linear digital self-interference cancellation in direct conversion full-duplex transceiver[J]. IEEE Journal on Selected Areas in Communications, 2014, 32 (9): 1674- 1687. doi: 10.1109/JSAC.2014.2330093
17	ANTTILA L. Digital front-end signal processing with widely-linear signal models in radio devices[D]. Province of Western Finland: Tampere University of Technology, 2011.
18	KWONG R , JOHNSTON E . A variable step-size LMS algorithm[J]. IEEE Trans.on Signal Processing, 1992, 40 (7): 1633- 1642. doi: 10.1109/78.143435
19	HAYKIN S . Adaptive filter theory[M]. 4th ed Upper Soddle River, NJ: Prentice-Hall, 2002.
20	ATTALLAH S, NAJIM M. On the convergence enhance-ment of the wavelet transform based LMS[C]//Proc. of the Acoustics, Speech and Signal Processing, 1995: 973-976.
21	NARAYON S , PETERSON A , NARASIMHA M . Transform domain LMS algorithm[J]. IEEE Trans.on Acoustics, Speech and Signal Processing, 1983, 31 (3): 609- 615. doi: 10.1109/TASSP.1983.1164121
22	WIDROW B , WALACH E . On the statis-tical efficiency of the LMS algorithm with nonstationary inputs[J]. IEEE Trans.on Information Theory, 1984, 30 (2): 211- 221. doi: 10.1109/TIT.1984.1056892
23	LI Z, PEI W J, XIA Y L, et al. Widely linear CLMS based cancellation of nonlinear self-interfere-ence in full-duplex direct-conversion transcei-vers[C]//Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2018: 4329-4333.
24	GE S, CUI Z P, XING J L. Adaptive nonlinear digital interfe-rence cancellation with two dimensional orthogonalization for co-site radios[C]//Proc. of the IEEE MTT-S International Wireless Symposium, 2021.
25	DOUGLAS S. Performance analysis of the conventional complex LMS and augmented complex LMS algorithms[C]//Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2010: 3794-3797.
26	ERIKSSON J , KOIVUNEN V . Complex random vectors and ICA models: identifiability, uniqueness, and separability[J]. IEEE Trans.on Information Theory, 2006, 52 (4): 1017- 1029.
27	KAILATH T . Linear systems[M]. Englewood Cliffs, NJ: Prentice-Hall, 1980.
28	欧世峰, 高颖, 赵晓晖. 基于随机梯度的变动量因子自适应白化算法[J]. 自动化学报, 2012, 38 (8): 1370- 1374.
	OU S F , GAO Y , ZHAO X H . Stochastic gradient based variable momentum factor algorithm for adaptive whitening[J]. Acta Automatica Sinica, 2012, 38 (8): 1370- 1374.
29	管鹏鑫, 汪奕汝, 赵玉萍. 基于正则化的全双工通信系统非线性自干扰消除方法[J]. 北京大学学报(自然科学版), 2021, 57 (6): 991- 996.
	GUAN P X , WANG Y R , ZHAO Y P . A regu-larization based nonlinear self-interference suppression method for full duplex communic-ation systems[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2021, 57 (6): 991- 996.
30	LIU Y , QUAN X , PAN W S . Digital assisted analog interfe-rence cancellation for in-band full-duplex radios[J]. IEEE Communication Letters, 2017, 21 (5): 1079- 1082. doi: 10.1109/LCOMM.2017.2652444

[1]	万阳良, 梁兴东, 李焱磊. 方位频域滤波的机场毫米波雷达干扰抑制方法[J]. 系统工程与电子技术, 2022, 44(11): 3357-3363.
[2]	陈增茂, 陆丽, 孙志国, 孙溶辰. 基于共轭梯度求解代价函数的卷积码参数识别算法[J]. 系统工程与电子技术, 2022, 44(10): 3235-3242.
[3]	贾天一, 高婧洁, 申晓红, 刘宏伟. 声速不确定条件下的运动水下航行器自定位[J]. 系统工程与电子技术, 2022, 44(9): 2699-2706.
[4]	胡毅立, 赵永波, 陈胜, 牛奔. 双插值拟合的共形电磁矢量传感器阵列解相干[J]. 系统工程与电子技术, 2022, 44(8): 2393-2402.
[5]	康颖, 赵治华, 吴灏, 李亚星, 孟进. 基于Deep SVDD的通信信号异常检测方法[J]. 系统工程与电子技术, 2022, 44(7): 2319-2328.
[6]	韦娟, 严世安, 宁方立. 基于互质阵虚拟阵列空间平滑的相干信号DOA估计方法[J]. 系统工程与电子技术, 2022, 44(4): 1069-1077.
[7]	孙世岩, 张钢, 梁伟阁, 佘博, 田福庆. 基于时间序列数据扩增和BLSTM的滚动轴承剩余寿命预测方法[J]. 系统工程与电子技术, 2022, 44(3): 1060-1068.
[8]	金艳, 赵大地, 姬红兵. 脉冲噪声下基于NAT函数的LFM信号参数估计[J]. 系统工程与电子技术, 2022, 44(3): 762-770.
[9]	范保华, 左乐, 唐勇, 胡泽华. 基于最大期望算法的多时变信号DOA估计方法[J]. 系统工程与电子技术, 2022, 44(2): 420-426.
[10]	刘鉴兴, 张天骐, 柏浩钧, 叶绍鹏. 基于信息矩阵估计的极化码参数盲识别算法[J]. 系统工程与电子技术, 2022, 44(2): 668-676.
[11]	谢煊, 冯辉, 胡波, 李旦. 带限图信号的最优采样集设计[J]. 系统工程与电子技术, 2022, 44(2): 357-364.
[12]	曲凌志, 杨俊安, 刘辉, 黄科举. 嵌入注意力机制的通信辐射源个体识别方法[J]. 系统工程与电子技术, 2022, 44(1): 20-27.
[13]	闫文君, 张聿远, 凌青, 于柯远, 谭凯文, 刘恒燕. 基于频域互相关序列与峰值检测的空频分组码盲识别算法[J]. 系统工程与电子技术, 2021, 43(12): 3709-3715.
[14]	程永杰, 刘帅, 张雪, 金铭. 基于高斯-勒让德积分的鲁棒波束形成算法[J]. 系统工程与电子技术, 2021, 43(11): 3144-3150.
[15]	张聿远, 闫文君, 张立民, 张媛. 基于卷积神经网络的串行空时分组码盲识别算法[J]. 系统工程与电子技术, 2021, 43(11): 3360-3370.

基于二维正交化WLCLMS的自干扰对消方法

Two-dimensional orthogonalization WLCLMS scheme for self-interference cancellation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 30

相关文章 15

编辑推荐

Metrics

本文评价