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宽带稀疏频谱感知

摘要第6-7页
Abstract第7页
List of Abbreviations第12-14页
1. Introduction第14-27页
    1.1 Implementation of "Observe" step第19-20页
        1.1.1 Geo location databases第19-20页
        1.1.2 Beacon signals第20页
    1.2 Spectrum Sensing第20-22页
        1.2.1 Narrowband Spectrum Sensing第21-22页
        1.2.2 Wideband Spectrum Sensing第22页
    1.3 Nyquist Wideband Sensing第22-24页
    1.4 Sub-Nyquist Wideband Sensing第24-25页
        1.4.1 Compressive Sensing-based Wideband Sensing第24页
        1.4.2 Multi-channel Sub-Nyquist Wideband Sensing第24-25页
    1.5 Motivation第25-26页
    1.6 Structure of the Dissertation第26-27页
2. Wideband Sensing using Bigband SFFT第27-43页
    2.1 Introduction第27-29页
    2.2 Bigband第29-33页
        2.2.1 Frequency Bucketization第29-30页
        2.2.2 Frequency Estimation第30-31页
        2.2.3 Collision Resolution第31-33页
    2.3 Techniques used in Algorithm第33-37页
        2.3.1 Frequency Bucketization Techniques第34-36页
            2.3.1.1 Flat Window Filter第35-36页
            2.3.1.2 Aliasing Filter第36页
        2.3.2 Frequency Estimation Techniques第36-37页
            2.3.2.1 Time-Shift/Phase-Rotation Approach第36页
            2.3.2.2 Wing Approach第36-37页
    2.4 Collision Detection and Resolution for each frequency bin第37-39页
        2.4.1 Collision detection for Each Frequency Bin第37页
        2.4.2 Resolving Collisions with Co-prime Aliasing Filters第37-38页
        2.4.3 Resolving Collisions without Co-prime Aliasing Filters第38-39页
    2.5 Yes/No Detection for Each Frequency Bin第39-43页
3. Wideband Sensing using SFFT-DT第43-56页
    3.1 Algorithm Description第43-44页
    3.2 Iterative SFFT-DT Algorithm第44-50页
        3.2.1 The Solution to Moment Preserving Problem第47-50页
        3.2.2 Relationship between Maximum Aliasing Number and Downsampling Factor第50页
    3.3 Iterative Strategy for Iterative SFFT-DT第50-54页
        3.3.1 Flow Chart第52-53页
        3.3.2 Iterative SFFT-DT Algorithm for Exactly k-Sparse Signal第53-54页
    3.4 Simulation Result第54-56页
4. Modified Wideband Sensing Algorithm第56-66页
    4.1 Algorithm Description第56页
    4.2 Methodology第56-57页
    4.3 Error Analysis of Moment Preserving Problem第57-58页
    4.4 Proposed Method第58-61页
    4.5 Proposed Algorithm Flow Chart第61-62页
    4.6 Result第62-66页
        4.6.1 False Alarm Probability第63-66页
5. Discussion and Future work第66-67页
Acknowledgement第67-68页
References第68-74页
Appendix第74页

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