频谱误用行为下的频谱感知：一个多假设 测试视角

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摘要翻译：
由非法接入或恶意发射引起的频谱误用行为，危害了通信的正常进行，恶化了频谱使用环境。在本文中，我们的目的是检测频谱是否被占用，如果被占用，识别是否存在误用行为。一个重要的挑战是，合法的频谱利用和滥用行为并存，非法用户的行为可能是间歇性和快速变化的，这给频谱感知带来了很大的不确定性。为了解决这一问题，我们首先将非法接入和无赖功率发射下的频谱感知问题表述为一个统一的三值假设检验。然后，我们提出了一个新的检验准则，称为广义多假设N-P准则。在此基础上，我们分别基于广义似然比检验和R检验导出了两个检验规则，分析了它们的渐近性能，并给出了一个上界。在此基础上，设计了一种基于全局N-P准则的合作频谱感知方案，进一步提高了检测性能。此外，通过大量的仿真验证了所提方案在各种参数配置下的性能。
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英文标题：
《Spectrum Sensing under Spectrum Misuse Behaviors: A Multi-Hypothesis
  Test Perspective》
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作者：
Linyuan Zhang, Guoru Ding, Qihui Wu, and Zhu Han
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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：
  Spectrum misuse behaviors, brought either by illegitimate access or by rogue power emission, endanger the legitimate communication and deteriorate the spectrum usage environment. In this paper, our aim is to detect whether the spectrum band is occupied, and if it is occupied, recognize whether the misuse behavior exists. One vital challenge is that the legitimate spectrum exploitation and misuse behaviors coexist and the illegitimate user may act in an intermittent and fast-changing manner, which brings about much uncertainty for spectrum sensing. To tackle it, we firstly formulate the spectrum sensing problems under illegitimate access and rogue power emission as a uniform ternary hypothesis test. Then, we develop a novel test criterion, named the generalized multi-hypothesis N-P criterion. Following the criterion, we derive two test rules based on the generalized likelihood ratio test and the R-test, respectively, whose asymptotic performances are analyzed and an upper bound is also given. Furthermore, a cooperative spectrum sensing scheme is designed based on the global N-P criterion to further improve the detection performances. In addition, extensive simulations are provided to verify the proposed schemes' performance under various parameter configurations.
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PDF链接：
https://arxiv.org/pdf/1711.11442

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关键词：Applications Optimization respectively exploitation performance 发射 感知 引起 检测 illegitimate