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Open AccessArticle

Digital Self-Interference Cancellation for Asynchronous In-Band Full-Duplex Underwater Acoustic Communication

by Gang Qiao 1,2,3, Shuwei Gan 1,2,3, Songzuo Liu 1,2,3,*, Lu Ma 1,2,3 and Zongxin Sun 1,2,3
1
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China
2
Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China
3
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(6), 1700; https://doi.org/10.3390/s18061700
Received: 19 April 2018 / Revised: 17 May 2018 / Accepted: 21 May 2018 / Published: 24 May 2018
To improve the throughput of underwater acoustic (UWA) networking, the In-band full-duplex (IBFD) communication is one of the most vital pieces of research. The major drawback of IBFD-UWA communication is Self-Interference (SI). This paper presents a digital SI cancellation algorithm for asynchronous IBFD-UWA communication system. We focus on two issues: one is asynchronous communication dissimilar to IBFD radio communication, the other is nonlinear distortion caused by power amplifier (PA). First, we discuss asynchronous IBFD-UWA signal model with the nonlinear distortion of PA. Then, we design a scheme for asynchronous IBFD-UWA communication utilizing the non-overlapping region between SI and intended signal to estimate the nonlinear SI channel. To cancel the nonlinear distortion caused by PA, we propose an Over-Parameterization based Recursive Least Squares (RLS) algorithm (OPRLS) to estimate the nonlinear SI channel. Furthermore, we present the OPRLS with a sparse constraint to estimate the SI channel, which reduces the requirement of the length of the non-overlapping region. Finally, we verify our concept through simulation and the pool experiment. Results demonstrate that the proposed digital SI cancellation scheme can cancel SI efficiently. View Full-Text
Keywords: asynchronous in-band full-duplex communication; underwater acoustic communication; nonlinear distortion; sparse constraint asynchronous in-band full-duplex communication; underwater acoustic communication; nonlinear distortion; sparse constraint
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MDPI and ACS Style

Qiao, G.; Gan, S.; Liu, S.; Ma, L.; Sun, Z. Digital Self-Interference Cancellation for Asynchronous In-Band Full-Duplex Underwater Acoustic Communication. Sensors 2018, 18, 1700.

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