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A Real-Time Digital Self Interference Cancellation Method for In-Band Full-Duplex Underwater Acoustic Communication Based on Improved VSS-LMS Algorithm

Yinheng Lu, Gang Qiao, Chenlu Yang, Yunjiang Zhao, Guang Yang, Huizhe Li

2022Remote Sensing11 citationsDOIOpen Access PDF

Abstract

Theoretically, the spectral efficiency of in-band full-duplex underwater acoustic communications (IBFD-UWAC) is twice that of a half-duplex one. However, the actual achievable spectral efficiency of IBFD-UWAC is determined by the performance of the self-interference cancellation (SIC). In addition, the hostile underwater environment poses a challenge to the tracking performance of the SIC due to its complexity and variability. In this paper, we propose a digital SIC method based on the improved variable step-size least mean square (IVSS-LMS) algorithm where we modify the step-size adjustment criterion in the classical LMS filter and establishes a nonlinear relationship with the Sigmoid function to control the step-size using the instantaneous state error, thus improving the robustness and tracking performance of IVSS-LMS. Hardware-in-loop simulation (HLS) based on Simulink® platform verifies the real-time implementability and effectiveness of the proposed IVSS-LMS algorithm. Furthermore, the sea trial results show that the digital SIC method based on the proposed algorithm can be implemented in real-time and the convergence speed, and steady-state performance are significantly improved.

Topics & Concepts

Computer scienceRobustness (evolution)Least mean squares filterSigmoid functionControl theory (sociology)Spectral efficiencyUnderwaterAlgorithmAdaptive filterTelecommunicationsArtificial intelligenceControl (management)GeneArtificial neural networkChemistryBiochemistryBeamformingGeologyOceanographyFull-Duplex Wireless CommunicationsUnderwater Vehicles and Communication SystemsAdvanced Adaptive Filtering Techniques
A Real-Time Digital Self Interference Cancellation Method for In-Band Full-Duplex Underwater Acoustic Communication Based on Improved VSS-LMS Algorithm | Litcius