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

美国俄亥俄州立大学的Philip SchmiterOhio State University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高数据速率、高载波频率、高移动性情况下以及高水平的同信道干扰下运行，同时使用小型且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于无线传播信道的恶劣特性，具体而言，来自物理环境中的物体的反射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。 特别具有挑战性的是双选择性信道，即，这些信道在时域和频域中显著地回声或模糊所传输的信息。 由于，这些特性出现时，高速率的信息流在高频率在高度移动的环境中传播，未来的无线应用的成功取决于我们的能力，可靠地通信信息的doubly-selective channel.This研究探讨实际的信令，检测和估计策略，频谱效率的宽带数据通信在doubly-selective无线信道。 正交频分复用以其在时间非选择性衰落中的优势而闻名，被用作研究实际数据检测和信道估计方法的出发点。 扩展这些想法，调查人员专注于非正交多载波信令方案，这些方案是专门设计的，以优化接收机复杂度约束下的检测性能。

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.