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雷达卡
摘要翻译：
对于未来的无线通信系统，全双工被视为一种可能的解决方案。实现带内全双工(IBFD)的关键是充分消除不可避免的自干扰(SI)。在这项工作中，我们评估了一个低复杂度IBFD收发器的性能，包括所需的模拟和数字干扰消除技术。射频自干扰消除器(RFSIC)是基于环行器与再生干扰信号的矢量调制器相结合的隔离，以将干扰信号与接收信号相消组合。在数字方面，采用了一种基于非线性自适应滤波的数字自干扰消除(DSIC)算法。利用软件无线电(SDR)平台的简化模拟前端，在接收信号存在的情况下实现了90 dB的SI抵消。
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英文标题：
《A Full Duplex Transceiver with Reduced Hardware Complexity》
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作者：
Mustafa Emara, Patrick Rosson, Kilian Roth, David Dassonville
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最新提交年份：
2017
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分类信息：
一级分类：Electrical Engineering and Systems Science 电气工程与系统科学
二级分类：Signal Processing 信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
For future wireless communication systems, full duplex is seen as a possible solution to the ever present spectrum shortage. The key aspect to enable In-Band Full Duplex (IBFD) is sufficient cancellation of the unavoidable Self-Interference (SI). In this work we evaluate the performance of a low complexity IBFD transceiver, including the required analog and digital interference cancellation techniques. The Radio Frequency Self- Interference Canceler (RFSIC) is based on the isolation of a circulator in combination with a vector modulator regenerating the interference signal, to destructively combine it with the received signal. On the digital side, a Digital Self-Interference Cancellation (DSIC) algorithm based on non-linear adaptive filtering is used. With the simplified analog front-end of a Software Defined Radio (SDR) platform, SI cancellation of 90 dB is achieved with the presence of a received signal.
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PDF链接：
https://arxiv.org/pdf/1711.07223
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