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Digital Self-Interference Cancellation for Asynchronous In-Band Full-Duplex Underwater Acoustic Communication
Gang Qiao1,2,3, Shuwei Gan4,5,6, Songzuo Liu7,8,9
1Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001,China. qiaogang@hrbeu.edu.cn.
This study introduces a digital self-interference (SI) cancellation algorithm for asynchronous in-band full-duplex (IBFD) underwater acoustic (UWA) systems. The novel Over-Parameterization based Recursive Least Squares (OPRLS) algorithm effectively mitigates nonlinear distortion and improves UWA network throughput.
Area of Science:
- Underwater Acoustic (UWA) Communication
- Signal Processing
- Wireless Networking
Background:
- In-band full-duplex (IBFD) communication is crucial for enhancing underwater acoustic (UWA) network throughput.
- Self-interference (SI) is a major challenge in IBFD-UWA systems.
- Asynchronous communication and nonlinear power amplifier (PA) distortion complicate SI cancellation in UWA environments.
Purpose of the Study:
- To develop a digital SI cancellation algorithm for asynchronous IBFD-UWA communication systems.
- To address the challenges of asynchronous signal models and PA-induced nonlinear distortion.
- To improve the efficiency and feasibility of SI cancellation in practical UWA networks.
Main Methods:
- Modeling asynchronous IBFD-UWA signals with PA nonlinear distortion.
- Utilizing the non-overlapping region between SI and the intended signal for channel estimation.
- Proposing an Over-Parameterization based Recursive Least Squares (OPRLS) algorithm for nonlinear SI channel estimation.
- Introducing a sparse-constrained OPRLS to reduce the required non-overlapping region length.
Main Results:
- The proposed OPRLS algorithm effectively estimates the nonlinear SI channel.
- The sparse-constrained OPRLS reduces the dependency on the non-overlapping region size.
- Simulations and pool experiments validate the efficiency of the digital SI cancellation scheme.
Conclusions:
- The developed digital SI cancellation algorithm successfully mitigates self-interference in asynchronous IBFD-UWA systems.
- The OPRLS algorithm, particularly with sparse constraints, offers a practical solution for nonlinear distortion challenges.
- This research contributes to advancing the performance and throughput of UWA networking.
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