Adaptive Filtering for Full-Duplex UWA Systems With Time-Varying Self-Interference Channel

被引:24
作者
Shen, Lu [1 ]
Zakharov, Yuriy [1 ]
Henson, Benjamin [1 ]
Morozs, Nils [1 ]
Mitchell, Paul D. [1 ]
机构
[1] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Delays; Baseband; Silicon carbide; Interference cancellation; Channel estimation; Adaptive systems; Time-varying systems; Adaptive filter; full-duplex; self-interference cancellation; time-varying channel estimation; underwater acoustic communications;
D O I
10.1109/ACCESS.2020.3031010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To enable full-duplex (FD) in underwater acoustic (UWA) systems, a high level of self-interference (SI) cancellation (SIC) is required. This can be achieved by using a combination of SIC methods, including digital SIC. For digital SIC, adaptive filters are used. In time-invariant channels, the SI can be effectively cancelled by classical recursive least-square (RLS) adaptive filters, such as the sliding-window RLS (SRLS) or exponential-window RLS, but their SIC performance degrades in time-varying channels, e.g., in channels with a moving sea surface. Their performance can be improved by delaying the filter inputs. This delay, however, makes the mean squared error (MSE) unsuitable for measuring the SIC performance. In this article, we propose a new evaluation metric, the SIC factor (SICF), which gives better indication of the SIC performance compared to MSE. The SICF can be used to evaluate the performance of digital SIC techniques without the need of implementing a full FD system. A new SRLS adaptive filter based on parabolic approximation of the channel variation in time, named SRLS-P, is also proposed. The SIC performance of the SRLS-P adaptive filter and classical RLS algorithms (with and without the delay) is evaluated by simulation and in lake experiments. The results show that the SRLS-P adaptive filter can significantly improve the SIC performance, compared to the classical RLS adaptive filters.
引用
收藏
页码:187590 / 187604
页数:15
相关论文
共 31 条
[1]  
[Anonymous], 2004, THESIS GEORGIA I TEC
[2]  
[Anonymous], 2008, ADAPTIVE FILTERING A
[3]   Full Duplex Radios [J].
Bharadia, Dinesh ;
McMilin, Emily ;
Katti, Sachin .
ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2013, 43 (04) :375-386
[4]  
Bjorno L., 2017, Applied Underwater Acoustics
[5]  
Choi JI, 2010, MOBICOM 10 & MOBIHOC 10: PROCEEDINGS OF THE 16TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING AND THE 11TH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING, P1
[6]  
Claser R, 2016, EUR SIGNAL PR CONF, P6, DOI 10.1109/EUSIPCO.2016.7760199
[7]   Experiment-Driven Characterization of Full-Duplex Wireless Systems [J].
Duarte, Melissa ;
Dick, Chris ;
Sabharwal, Ashutosh .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (12) :4296-4307
[8]  
Duarte M, 2010, CONF REC ASILOMAR C, P1558, DOI 10.1109/ACSSC.2010.5757799
[9]  
Emara M, 2017, IEEE GLOB COMM CONF
[10]  
Everett E, 2011, CONF REC ASILOMAR C, P2002, DOI 10.1109/ACSSC.2011.6190376