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

Gang Qiao; Shuwei Gan; Songzuo Liu; Lu Ma; Zongxin Sun

doi:10.3390/s18061700

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

Sensors (Basel). 2018 May 24;18(6):1700. doi: 10.3390/s18061700.

Authors

Gang Qiao^{1

2

3}, Shuwei Gan^{4

5

6}, Songzuo Liu^{7

8

9}, Lu Ma^{10

11

12}, Zongxin Sun^{13

14

15}

Affiliations

¹ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China. qiaogang@hrbeu.edu.cn.
² Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China. qiaogang@hrbeu.edu.cn.
³ College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China. qiaogang@hrbeu.edu.cn.
⁴ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China. ganshuwei@hrbeu.edu.cn.
⁵ Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China. ganshuwei@hrbeu.edu.cn.
⁶ College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China. ganshuwei@hrbeu.edu.cn.
⁷ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China. liusongzuo@hrbeu.edu.cn.
⁸ Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China. liusongzuo@hrbeu.edu.cn.
⁹ College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China. liusongzuo@hrbeu.edu.cn.
¹⁰ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China. malu@hrbeu.edu.cn.
¹¹ Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China. malu@hrbeu.edu.cn.
¹² College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China. malu@hrbeu.edu.cn.
¹³ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China. sunzongxin@hrbeu.edu.cn.
¹⁴ Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China. sunzongxin@hrbeu.edu.cn.
¹⁵ College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China. sunzongxin@hrbeu.edu.cn.

Abstract

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.

Keywords: asynchronous in-band full-duplex communication; nonlinear distortion; sparse constraint; underwater acoustic communication.