Description: A Survey of Spectrum Sensing Algorithms The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given. Platform: |
Size: 453502 |
Author:chenpeng3361 |
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Description: 认知无线电系统中多载波信号带外干扰的抑制，采用载波加权的方法降低认知无线电系统中认知用户信号对主用户信号的干扰
-Cognitive radio system in multi-carrier signal-band interference suppression, the use of carrier-weighted ways to reduce cognitive cognitive radio system users on the primary user signal signal interference Platform: |
Size: 19456 |
Author:antony |
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Description: Cognitive radio frequency spectrum detection-The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands.
It is assumed that in each subband either a primary user (PU) is active or absent in a additive white Gaussian
noise environment with an unknown variance. It is also assumed that at least a minimum given number of
subbands are vacant of PUs. In this multiple interrelated hypothesis testing problem, the noise variance is
estimated and a generalised likelihood ratio detector is proposed to identify possible spectrum holes at a
secondary user (SU). Provided that it is known that a specific PU can occupy a subset of subbands
simultaneously, a grouping algorithm which allows faster spectrum sensing is proposed. The collaboration of
multiple SUs can also be considered in order to enhance the detection performance. The collaborative
algorithms are compared in terms of the required exchange information among SUs in some collaboration
methods. The simulation results show that the propos Platform: |
Size: 231424 |
Author:phillis |
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Description: ：随着无线技术的飞速发展，频谱缺乏已经成为一个非常严重的问题．感知无线电技术能有效解
决频谱紧张的现状．介绍了感知无线电概念及其内涵，然后介绍了检测频谱空穴的方法．为提高检测概率、
降低设备复杂度及计算复杂度，将UWB与感知无线电结合，提出了基于能量检测及用户合作（EDAUC）的
协作感知方法．仿真和分析表明：该方法能有效提高检测频谱空穴的概率．-: With the rapid development of wireless technology, the lack of spectrum has become a very serious problem. Cognitive radio technology can effectively solve the spectrum tense situation. Introduced the concept of cognitive radio and its content, and then introduces the method of detection of spectrum holes. To improve the detection probability and reduces the complexity and computational complexity, the combination of UWB and cognitive radio is proposed based on energy detection and user cooperation (EDAUC) the cooperative sensing methods. Simulation and analysis: This method can improve the probability of detection of spectrum holes. Platform: |
Size: 282624 |
Author:林熙怡 |
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Description: 介绍了认知无线电技术中的频谱感知，以及各种频谱感知的方法和优缺点-Cognitive radio technology introduced in the spectrum sensing, and a variety of methods and advantages and disadvantages of spectrum sensing Platform: |
Size: 4153344 |
Author:秦楠楠 |
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Description: 谱感知技术是认知无线电(CR)的关键技术,频谱检测的可靠度和精度决定了是否会影响主用户的正常通信及认知用户能否有效利用频谱.在频谱检测的众多方法中,能量检测法是一种常用的方法,但能量检测器的门限很容易受到噪声功率变化的影响,影响主用户的正常通信.笔者提出一种自适应背景噪声的门限设置方法,通过引入门限评价指数作为衡量频谱感知效率和频谱资源利用率的度量指标,使得认知用户在不同的应用环境中能自适应地设置频谱感知门限,达到更充分利用频谱资源和更有效传送信号的目的.仿真证明,该方法确定的门限能够随着噪声条件的改变而改变,显著提高了能量感知方案的性能.-Spectrum sensing technology is the key technology of the cognitive radio(CR),the reliability and accuracy of the spectrum detection decides whether it will affect the normal communication of the main users and the utilization of spectrum of the cognitive users.Among the many methods of spectrum detection,energy detection is a commonly used method.However,in practice,the uncertainty of noise interference makes the setting of the threshold difficult,causing an interruption of the communication of the main use Platform: |
Size: 212992 |
Author:曹蒙 |
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Description: Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete theory analysis, can be used for spectrum sensing cognitive radio networks and other new fields. Matlab program contains more than 100 pages, Functions a lot. Platform: |
Size: 2061312 |
Author:孟庆民 |
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Description: The spectrum sensing problem has gained new
aspects with cognitive radio and opportunistic spectrum access
concepts. It is one of the most challenging issues in cognitive
radio systems. In this paper, a survey of spectrum sensing
methodologies for cognitive radio is presented. Various aspects
of spectrum sensing problem are studied from a cognitive radio
perspective and multi-dimensional spectrum sensing concept is
introduced. Challenges associated with spectrum sensing are
given and enabling spectrum sensing methods are reviewed.
The paper explains the cooperative sensing concept and its
various forms. External sensing algorithms and other alternative
sensing methods are discussed. Furthermore, statistical modeling
of network traffic and utilization of these models for prediction
of primary user behavior is studied. Finally, sensing features of
some current wireless standards are given. Platform: |
Size: 456704 |
Author:Deepesh |
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Description: 认知无线网中频谱感知的综述，介绍了频谱感知技术的主要分类，几种检测方法的技术特定，以及研究趋势。(A review of spectrum sensing in cognitive radio networks, the main categories of spectrum sensing techniques, the technical specificity of several detection methods, and the research trends are introduced.) Platform: |
Size: 192512 |
Author:geng1992
|
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Search - SPECTRUM SENSING METHODS IN COGNITIVE RADIO