CAREER: Signal Processing for Practical Data Communication over the Doubly-Selective Wireless Channel

职业：双选无线信道上实际数据通信的信号处理

• 批准号: 0237037
• 负责人: Philip Schniter
• 金额: $ 39.98万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0237037&HistoricalAwards=false
• 关键词: CAREER; Signal; Processing; Practical; Data

ABSTRACT0237037Philip SchmiterOhio State UniversityThe rapidly evolving global information infrastructure includes broadband wireless communication as a key component. Communication technology of the future will need to operate at the data rates, at high carrier frequencies, in high mobility situations, and under high levels of co-channel interference, all while maintaining reliable data transmission using small and inexpensive components. The fundamental challenge for future wireless technology stems from the harsh characteristics of the wireless propagation channel.In specific, reflections from objects in the physical environment induce rapidly changing echo patterns which make it difficult for the receiver to recover the transmitted information without error. Especially challenging are doubly-selective channels, i.e., channels which echo or blur the transmitted information significantly in both the time and frequency domains. Since, these characteristics arise when high-rate information streams are propagated at high frequencies in highly mobile environments, the success of future wireless applications hinges on our ability to communicate information reliably over the doubly-selective channel.This research investigates practical signaling, detection, and estimation strategies for spectrally-efficient broadband data communication over doubly-selective wireless channels. Orthogonal frequency division multiplexing, known for its advantages in time-non-selective fading, is used as a starting point in the study of practical data detection and channel estimation methods. Extending these ideas, the investigators focus on non-orthogonal multicarrier signaling schemes which are specifically designed to optimize detection performance under receiver complexity constraints.

快速发展的全球信息基础设施包括宽带无线通信作为一个关键组成部分。未来的通信技术将需要在数据速率、高载波频率、高移动性情况和高水平的同信道干扰下运行，同时使用小型和廉价的组件保持可靠的数据传输。未来无线技术的根本挑战来自无线传播信道的恶劣特性。具体来说，来自物理环境中物体的反射会引起快速变化的回波模式，这使得接收器难以准确地恢复传输的信息。尤其具有挑战性的是双选择性信道，即在时域和频域都明显回波或模糊传输信息的信道。由于在高移动环境中以高频率传播高速率信息流时会出现这些特性，因此未来无线应用的成功取决于我们在双选择信道上可靠地通信信息的能力。本研究探讨了在双选择无线信道上频谱高效宽带数据通信的实际信令、检测和估计策略。正交频分复用以其在时间非选择性衰落方面的优势而闻名，并被用作实际数据检测和信道估计方法研究的起点。扩展这些思想，研究人员专注于非正交多载波信令方案，该方案专门设计用于优化接收器复杂性约束下的检测性能。