| 摘要 | 第1-7页 |
| Abstract | 第7-12页 |
| 1. Introduction | 第12-25页 |
| ·Background and Motivation | 第12-15页 |
| ·Review of OFDM System and The Characteristics of Sparsity for the Wireless Channel Propagation | 第15-16页 |
| ·Review of OFDM System | 第15页 |
| ·The Wireless Channel Propagation and its Characteristics of Sparsity | 第15-16页 |
| ·Review of Compressed Sensing Theory | 第16-18页 |
| ·Sparse Channel Estimation in OFDM System | 第18-22页 |
| ·Measurement Matrix Design | 第19-20页 |
| ·Sparse Channel Recovery | 第20-22页 |
| ·Major Contributions | 第22-23页 |
| ·Organization | 第23-25页 |
| 2. Channel Estimation in OFDM System | 第25-48页 |
| ·Effect of Channel Propagation | 第25-32页 |
| ·Path Loss in Free Space | 第26-27页 |
| ·Shadowing | 第27-28页 |
| ·Multipath Fading Channel | 第28-32页 |
| ·OFDM System | 第32-37页 |
| ·System Model | 第32-34页 |
| ·Mathematical Model | 第34-37页 |
| ·Training based Frequency Domain Channel Estimation Methods | 第37-47页 |
| ·Frequency Domain Least Square Estimation (LS) | 第38-40页 |
| ·Minimum Mean Square Error (MMSE) Estimation | 第40-41页 |
| ·Time Domain LS Estimation | 第41-43页 |
| ·Time Domain Maximum Likelihood Estimation | 第43-44页 |
| ·Simulations | 第44-47页 |
| ·Conclusion | 第47-48页 |
| 3. Compressed Sensing Theory and Models for Sparse Channel Estimation in OFDM System | 第48-69页 |
| ·Compressed Sensing Theory | 第48-64页 |
| ·Basic Principles of Compressed Sensing | 第48-53页 |
| ·Sparse Signal Reconstruction Algorithms in Compressed Sensing | 第53-62页 |
| ·Simulations | 第62-64页 |
| ·Compressed Sensing based Sparse Channel Estimation in OFDM System | 第64-68页 |
| ·Characteristics of Sparse Channel | 第64-66页 |
| ·Mathematical Model for Compressed Sensing based Sparse Channel Estimation in OFDM System | 第66-68页 |
| ·Conclusion | 第68-69页 |
| 4. Classical LS based Sparse Channel Estimation | 第69-89页 |
| ·Frequency Interpolated based Channel Estimation | 第70-72页 |
| ·Linear Interpolation based Channel Estimation | 第70页 |
| ·Simulations and Analysis | 第70-72页 |
| ·LS based Time Domain Channel Estimation | 第72-74页 |
| ·Noise Characteristics and Threshold Analysis | 第74-79页 |
| ·Noise Standard Deviation Estimation | 第74-76页 |
| ·Threshold Analysis | 第76-79页 |
| ·Proposed Time Domain Threshold for LS based Channel Estimation in OFDM System | 第79-88页 |
| ·Proposed Method | 第81-82页 |
| ·Analysis and Performances Comparison | 第82-88页 |
| ·Conclusion | 第88-89页 |
| 5. Compressed Sensing based Sparse Channel Estimation | 第89-112页 |
| ·Compressed Sensing based Sample Spaced Sparse Channel Estimation | 第90-102页 |
| ·A Novel Robust Threshold for Compressed Sensing based Sample Spaced Sparse Channel Estimation | 第90-95页 |
| ·Noise Standard Deviation Estimation and Threshold Estimation | 第95页 |
| ·Main Framework of the Proposed Method | 第95-102页 |
| ·Non-sample Spaced Sparse Channel Estimation based on Compressed Sensing | 第102-110页 |
| ·Smart Measurement Matrix Design for Non-sample Spaced Sparse Channel Estimation | 第104-107页 |
| ·Simulations | 第107-110页 |
| ·Conclusion | 第110-112页 |
| 6. Conclusions and Future Works | 第112-115页 |
| ·Conclusions | 第112-113页 |
| ·Future Works | 第113-115页 |
| Appendix A | 第115-117页 |
| Appendix B | 第117-118页 |
| Bibliography | 第118-128页 |
| 攻读博士学位期间取得的研究成果 | 第128-130页 |
| 致谢 | 第130-131页 |
| 附件 | 第131页 |
