摘要翻译：
我们描述了一种利用单颗卫星识别卫星干扰源的方法。该技术依赖于这样一个事实，即在下行链路站测量的载波信号强度由于许多因素而随时间变化，我们使用量子启发算法来计算信号的“特征”，该特征捕捉上行链路天线特征的部分变化模式。我们定义了一个距离测度来数值量化两个信号之间的相似程度，并通过计算干扰载波信号与同一卫星同时中继的已知载波信号之间的距离来识别干扰源天线，如果已知载波从中继的话。作为概念的证明，我们使用一个应用于测量载波数据的简单统计模型来评估该技术的性能。
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英文标题：
《Identification of the source of an interferer by comparison with known
  carriers using a single satellite》
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作者：
Ian Glendinning, Michael N\"olle, Christian Hausleitner, Erwin
  Greilinger
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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：
  We describe a method for identifying the source of a satellite interferer using a single satellite. The technique relies on the fact that the strength of a carrier signal measured at the downlink station varies with time due to a number of factors, and we use a quantum-inspired algorithm to compute a 'signature' for a signal, which captures part of the pattern of variation that is characteristic of the uplink antenna. We define a distance measure to numerically quantify the degree of similarity between two signatures, and by computing the distances between the signature for an interfering carrier and the signatures of the known carriers being relayed by the same satellite at the same time, we can identify the antenna that the interferer originated from, if a known carrier is being relayed from it. As a proof of concept we evaluate the performance of the technique using a simple statistical model applied to measured carrier data.
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PDF链接：
https://arxiv.org/pdf/1805.06567