发帖
雷达卡
摘要翻译：
由于有限的双工器阻带隔离，工作在频分双工中的收发器经历到一个发送器泄漏（TxL）信号到接收机中。该TxL信号与接收混频器的二阶非线性相结合可导致具有两倍于发射信号带宽的基带(BB)二阶互调失真(IMD2)。在直接转换接收机中，这种非线性IMD2干扰可能导致所需接收信号的严重信干噪比退化。提出了一种非线性维纳模型递推最小二乘(RLS)型自适应滤波器，用于消除数字BB中的IMD2干扰。在所提出的自适应滤波器的输出处包括的信道选择和DC陷波滤波器确保所提供的IMD2副本包括接收机前端滤波器。推导出非线性RLS算法的第二稳健版本，其为例如在LTE-A频带内多集群传输场景中出现的高度相关输入信号提供数值稳定性。通过数值模拟和实测数据对所提算法的性能进行了评价。
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英文标题：
《A Robust Nonlinear RLS Type Adaptive Filter for
Second-Order-Intermodulation Distortion Cancellation in FDD LTE and 5G Direct
Conversion Transceivers》
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作者：
Andreas Gebhard, Oliver Lang, Michael Lunglmayr, Christian Motz, Ram
Sunil Kanumalli, Christina Auer, Thomas Paireder, Matthias Wagner, Harald
Pretl and Mario Huemer
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最新提交年份：
2018
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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：
Transceivers operating in frequency division duplex experience a transmitter leakage (TxL) signal into the receiver due to the limited duplexer stop-band isolation. This TxL signal in combination with the second-order nonlinearity of the receive mixer may lead to a baseband (BB) second-order intermodulation distortion (IMD2) with twice the transmit signal bandwidth. In direct conversion receivers, this nonlinear IMD2 interference may cause a severe signal-to-interference-plus-noise ratio degradation of the wanted receive signal. This contribution presents a nonlinear Wiener model recursive least-squares (RLS) type adaptive filter for the cancellation of the IMD2 interference in the digital BB. The included channel-select-, and DC-notch filter at the output of the proposed adaptive filter ensure that the provided IMD2 replica includes the receiver front-end filtering. A second, robust version of the nonlinear RLS algorithm is derived which provides numerical stability for highly correlated input signals which arise in e.g. LTE-A intra-band multi-cluster transmission scenarios. The performance of the proposed algorithms is evaluated by numerical simulations and by measurement data.
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PDF链接：
https://arxiv.org/pdf/1807.04051
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