Spatial-digital joint self-interference cancellation method for in-band full-duplex underwater acoustic communication

被引:0
|
作者
Lu, Yinheng [1 ,2 ,3 ]
Qing, Xin [1 ,2 ,3 ]
Yang, Chenlu [1 ,2 ,3 ]
Zhao, Yunjiang [4 ]
Wu, Songwen [1 ,2 ,3 ]
Qiao, Gang [1 ,2 ,3 ]
机构
[1] Harbin Engn Univ, Acoust Sci & Technol Lab, Harbin, Peoples R China
[2] Harbin Engn Univ, Key Lab Marine Informat Acquisit & Secur, Minist Ind & Informat Technol, Harbin, Peoples R China
[3] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin, Peoples R China
[4] Yichang Testing Tech Res Inst, Yichang, Peoples R China
关键词
underwater acoustic; full duplex communication; self-interference (SI) cancellation (SIC); beamforming; VSS-LMS algorithm; DESIGN; ALGORITHMS; WIRELESS; ARRAY;
D O I
10.3389/fmars.2022.1015836
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The in-band full-duplex underwater acoustic communication (IBFD-UWAC) mode has twice the information throughput of the traditional half-duplex communication mode, significantly increasing the communication efficiency. Extracting the weak desired signal from the high-power self-interference signal without distortion remains a challenging problem in implementing IBFD-UWAC systems. This paper proposes a spatial-digital joint self-interference cancellation (SDSIC) method for IBFD-UWAC. We first perform spatial self-interference cancellation (SSIC) and propose an improved wideband constant-beamwidth beamformer to overcome the problem of direction- and array-dependent interference in IBFD-UWAC systems. Convex optimization is used to maintain a constant beam response in the main flap and cancel the self-interference signal from a fixed direction, thus increasing the signal-to-interference ratio of the desired signal. Subsequently, we perform digital self-interference cancellation (DSIC) on the residual self-interference signal, and propose a variable-step-size least-mean-squares algorithm based on the spatial noise threshold. This algorithm modifies the least-mean-squares step-size adjustment criterion according to the noise level after SSIC and the desired signal, resulting in better DSIC. A series of simulations are implemented in a hardware-in-the-loop platform to verify the practicality and real-time performance of the proposed SDSIC method. The results show that the self-interference signal power can be reduced by 41.5 dB using the proposed method, an improvement of 13.5 dB over the conventional SIC method.
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页数:18
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