Simultaneous Transmit-Receive Processing for UAV Jammers: A Deep Neural Network Approach to Self-Interference Cancellation

IF 0.8 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Qianru Liu, Jiahao Zhang, Wei Li, Liang Zhou, Hengfeng Wang, Hao Wu, Jundi Wang
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引用次数: 0

Abstract

To address the significant residual interference fluctuations caused by the dynamic coupling between hardware nonlinearities and time-varying channel characteristics in self-interference (SI) signals, this paper proposes a dual-layer SI cancellation (SIC) method based on convolutional long short-term memory deep neural networks (CLDNN). We establish a dual-layer cancellation model for full-duplex jammers and derive the interference cancellation expression under the combined effects of nonlinearity and time-varying channels. Furthermore, a CLDNN-based network incorporating high-order expansion terms is designed to break through the linear fitting limitations of traditional adaptive cancellation, thereby enhancing SIC performance. Simulation results confirm that the proposed dual-layer cancellation method significantly outperforms traditional least mean squares (LMS) algorithms, convolutional neural networks (CNN), and sampled-weight gated recurrent units (SW-GRU) methods, achieving a 26.37 dB improvement in interference cancellation ratio (ICR).

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无人机干扰机收发同步处理:一种深度神经网络自干扰消除方法
针对自干扰(SI)信号中硬件非线性与时变信道特性动态耦合导致的显著残余干扰波动,提出了一种基于卷积长短期记忆深度神经网络(CLDNN)的双层自干扰对消(SIC)方法。建立了全双工干扰机的双层对消模型,推导了非线性和时变信道联合作用下的干扰对消表达式。此外,设计了一种基于cldnn的高阶展开项网络,突破了传统自适应消去的线性拟合限制,从而提高了SIC性能。仿真结果表明,该方法显著优于传统的最小均方(LMS)算法、卷积神经网络(CNN)和采样权门控循环单元(ws - gru)方法,干扰抵消比(ICR)提高26.37 dB。
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来源期刊
Electronics Letters
Electronics Letters 工程技术-工程:电子与电气
CiteScore
2.70
自引率
0.00%
发文量
268
审稿时长
3.6 months
期刊介绍: Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO
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