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Digitally Assisted Analog Self-interference Cancellation for In-band Full-duplex Underwater Acoustic Communication

机译:数字辅助模拟自干扰消除带内的全双工水下声学通信

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In-Band Full-Duplex (IBFD) Underwater Acoustic (UWA) communication technology can transmit and receive communication signals in the same frequency band at the same time. Theoretically, its frequency utilization efficiency can reach twice of the traditional half-duplex (HD) UWA communication systems. Therefore, it holds great research significance and application value for UWA communication where available spectrum resources are seriously limited. The main challenge in the implementation of IBFD-UWA communication system is to counteract the local self- interference (SI) signal. Generally, SI cancellation (SIC) can be divided into three main aspects, namely, SI suppression in space, SIC in analog domain and digital domain. Digitally Assisted Analog SIC (DAA-SIC) is concerned as it can deal with complexSI propagation channel. However, in the implementation process of the DAA-SIC scheme, its performance will be affected by hardware conditions, such as the effective number of bits of analog to digital converter (ADC) of auxiliary acquisition link, non-linear distortion of power amplifier (PA) and so on. To deal with the influence of hardware parameters on the performance of DAA-SIC scheme, this paper proposes a new analog SIC scheme. The core of this scheme is to reconstruct the output signal of PA and reduce the non-linear distortion of power amplifier and the influence of effective number of bits of auxiliary link through Memory Polynomial (MP) model and Digital Pre- Distortion (DPD) process. The performance of the existing scheme and the new DAA-SIC scheme is verified by numerical simulation. The simulation results show the effectiveness of the proposed scheme.
机译:带内的全双工(IBFD)水下声学(UWA)通信技术可以同时在同一频带中发送和接收通信信号。从理论上讲,其频率利用效率可以达到传统的半双工(HD)UWA通信系统的两倍。因此,它对UWA通信具有很大的研究意义和应用价值,可用频谱资源严重限制。 IBFD-UWA通信系统实施中的主要挑战是抵消局部自干扰(SI)信号。通常,Si取消(SiC)可分为三个主要方面,即Si抑制在空间,模拟域和数字域中的SiC。数字辅助模拟SiC(DAA-SIC)关注它可以处理复杂的传播信道。但是,在DAA-SIC方案的实施过程中,其性能将受硬件条件的影响,例如辅助采集链路的数模转换器(ADC)的有效数量,功率放大器的非线性失真( PA)等等。为了处理硬件参数对DAA-SIC方案性能的影响,本文提出了一种新的模拟SIC方案。该方案的核心是重建PA的输出信号,并降低功率放大器的非线性失真以及通过存储多项式(MP)模型和数字预失真(DPD)过程的有效数量的辅助链路数量的影响。通过数值模拟验证了现有方案的性能和新的DAA-SIC方案。仿真结果表明了该方案的有效性。

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