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基于能量检测的增强双门限频谱感知算法研究

发布时间:2024-02-26 06:30
  射频(RF)频谱是一种有限的自然资源,它需要更有效地利用,以便以更高的数据速率向大量用户提供多样化的服务。由于无线宽带,多媒体用户和应用程序市场的迅速扩大,人们对这种宝贵的无线电资源的需求正在增加。在这种有限的资源中容纳更多的无线应用程序似乎更具挑战性。然而,由于给定频谱分段和标准化无线系统的专用频率分配,可用频谱资源正变得日益匮乏。认知无线电(CR)技术是一种试图利用动态频谱管理原理来解决频谱拥塞和频谱利用不足之间的矛盾的频谱接入新策略,它允许CR用户适时地使用主用户的许可频谱(PU)。CR技术的一个关键要求是在短时间内实现频谱的无占用,同时避免对PU的干扰。这种能力直接取决于频谱感知,而频谱感知是决定CR系统可靠性的最重要步骤。CR频谱感知的一个巨大挑战是能够在短时间内精确检测主发射机的状态。频谱感知技术主要集中在主发射机检测上,其中包括匹配滤波器检测(MFD),循环平稳特征检测,能量检测(ED)等。能量检测(ED)由于具有广泛的适用性和简单性以及计算和实施成本低等优点,而成为了一种普及的CR频谱感知技术。然而,传统的ED方案对噪声不确定性效应敏感,由于噪声比(SNR)壁的存在,使...

【文章页数】:56 页

【学位级别】:硕士

【文章目录】:
摘要
Abstract
Chapter 1 Introduction to Cognitive Radio
    1.1 Introduction and Motivations
    1.2 Research Background and Significance
        1.2.1 Dynamic Spectrum Access
        1.2.2 Brief history of Cognitive Radio
        1.2.3 Definitions of Cognitive Radio
        1.2.4 Why Cognitive Radio
        1.2.5 How Cognitive Radio is Different from Other Radios?
        1.2.6 Functions of Cognitive Radio
    1.3 Research Background Analysis
        1.3.1 Related work
    1.4 Objective
    1.5 Main Research Content
Chapter 2 Spectrum sensing techniques
    2.1 Introduction
    2.2 Spectrum sensing standards
        2.2.1 IEEE 802.22
        2.2.2 ECMA 392
        2.2.3 802.11af
    2.3 Spectrum Sensing Problem
    2.4 Classification of different spectrum sensing techniques
    2.5 Narrowband Spectrum Sensing
        2.5.1 Narrowband Sensing Techniques
        2.5.2 Local Spectrum Sensing (LSS) Approach
        2.5.3 Cooperative Spectrum Sensing Approach
    2.6 Factors for selecting the fitting sensing method
        2.6.1 CR Device Capability
        2.6.2 Qo S Required for Applications Running on the CR Device
        2.6.3 Priori Information
        2.6.4 Level of Protection Required for PU
        2.6.5 The CR Network Mode and Capability
    2.7 Summary
Chapter 3 Enhanced double threshold energy detection algorithm
    3.1 Introduction
    3.2 Design Parameters
        3.2.1 Threshold
        3.2.2 Number of Samples
    3.3 Employing the Double Threshold Logic
    3.4 Noise power uncertainty consideration
    3.5 Noise Uncertainty Consideration for ED
    3.6 Proposed algorithm
    3.7 Summary
Chapter 4 Simulation result and analyses
    4.1 Non cooperative detection
    4.2 Cooperative detection
    4.3 Summary
CONCLUSION
References
List of publication
Acknowledgement



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