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窄带干扰和冲激噪声的抑制与消除关键技术研究(英文版)(精)/清华大学优秀博士学位论文

窄带干扰和冲激噪声的抑制与消除关键技术研究(英文版)(精)/清华大学优秀博士学位论文

  • 出版社: 清华大学
  • 作者: 刘思聪|责编:王倩
  • 商品条码: 9787302585152
  • 版次: 1
  • 开本: 16开
  • 页数: 208
  • 出版年份: 2021
  • 印次: 1
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内容简介
本书总结了近年来窄带 干扰和冲激噪声的抑制与消 除关键技术的新研究成果 ,从如何抑制窄带干扰对同 步的影响、如何提升通信系 统在窄带干扰与冲激噪声下 的时频交织性能、如何精确 重构并消除冲激噪声与窄带 干扰等科学问题切入,围绕 “加扰”以抑制、“分集”以规 避、“重构”以消除噪声干扰 的研究思路,提出了有效、 新型的框架与算法,从多个 角度入手,全面提升了下一 代宽带通信系统抑制与消除 窄带干扰和冲激噪声的能力 。本书可供通信信号处理、 无线通信等领域的本科生和 研究生,以及从事相关理论 研究、算法设计与工程实践 的读者参考。
目录
1 Introduction 1.1 Research Background and Aims 1.1.1 An Overview of Digital Communication Systems 1.1.2 Noises and Interferences 1.1.3 Characteristics and Detrimental Effects of NBI and IN 1.2 Related Works and Challenges 1.2.1 Related Works and Problems on NBI Mitigation 1.2.2 Related Works and Problems on IN Mitigation 1.3 Key Research Problems and Research Aims 1.4 Main Works and Contributions 1.5 Structural Arrangements References 2 System Model and Fundamental Knowledge 2.1 An Overview of Broadband Digital Communication Systems 2.1.1 OFDM-Based Block Transmission 2.1.2 Key Techniques of OFDM-Based Block Transmission 2.2 Frame Structure of Broadband Digital Communication Systems 2.2.1 Structure of Preamble in Frame Header 2.2.2 Structure of Data Sub-Frame 2.3 Narrowband Interference Model and Impulsive Noise Model 2.3.1 Narrowband Interference Model 2.3.2 Impulsive Noise Model 2.4 Fundamentals of Sparse Recovery Theory 2.4.1 Compressed Sensing and Sparse Recovery 2.4.2 Structured Compressed Sensing Theory 2.4.3 Sparse Bayesian Learning Theory. References 3 Synchronization Frame Design for NBI Mitigation 3.1 Introduction 3.1.1 Problem Description and Related Research 3.1.2 Research Aims and Problems 3.2 Signal Model 3.3 Synchronization Frame Structure Design for NBI Mitigation 3.4 Timing and Fractional CFO Synchronization 3.5 Integer CFO Estimation and Signaling Detection with NBI 3.6 Performance Analysis of the Algorithms 3.7 Simulation Results and Discussions 3.8 Conclusion References 4 Optimal Time Frequency Interleaving with NBI and TIN 4.1 Introduction 4.1.1 Problem Description and Related Research 4.1.2 Research Aims and Problems 4.2 System Model 4.3 Design of Optimal Time-Frequency Joint Interleaving Method 4.3.1 Interleaving with Maximizing Time Diversity 4.3.2 Interleaving with Maximum Frequency Diversity 4.4 Performance Analysis of the Algorithms 4.5 Simulation Results and Discussions 4.6 Conclusion

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