CAREER: Development and Implementation of Antenna Array Processing Techniques for Wireless Communications

阵列信号处理技术传统上仅限于军事应用。研究人员最近发现，这些技术可以通过利用空间分集来显著扩大信道容量，提高无线通信系统的质量。尽管在过去十年中在阵列处理方面进行了重大的研究活动，但将这种军事技术转化为成本敏感的商业技术并非易事。在无线通信系统中实现这些技术需要大量的研究和开发工作。本研究为各种无线通信系统开发创新的天线阵列处理技术和快速实现方案。项目范围不限于算法开发、理论分析和仿真研究；我们的最终目标是在实际硬件中实现生成的算法。由于对信息获取和处理的高需求，专门从事数字信号处理及其在电信中的应用的行业在世界范围内得到了快速发展。为了应对这种增长，必须开发这些领域的新课程和创新的教学方法，以便学生能够迅速适应各种挑战。在此期间，主要研究者计划在这些领域开发一些新的课程，包括本科生实验课程，继续让本科生参与行业赞助的项目，设计更多的计算机项目，为少数民族学生和残疾学生创造机会，更重要的是，开发一种利用先进技术的多媒体教学方法，例如现场音频，视频，图形插图和真实的硬件演示。

Array signal processing techniques were traditionally limited to military applications. Researchers recently found that these techniques could be applied to significantly expand channel capacity and improve quality of wireless communication systems through exploitation of spatial diversity. Despite significant research activities in array processing during the last decade, conversion of such military technology to cost sensitive commercial technology is not trivial. A significant amount of research and development effort is required to realize these techniques in a wireless communication system. This research is developing innovative antenna array processing techniques and fast implementation schemes for various wireless communication systems. The program scope is not limited to algorithm development, theoretical analysis, and simulation studies; our ultimate objective is to implement the resulting algorithms in real hardware. Industry specializing in digital signal processing and its applications in telecommunications has experienced rapid growth in this world due to high demand for information access and processing. To respond to such a growth, new courses in these areas and innovative teaching methodology must be developed so that students can quickly adapt to various challenges. During the proposed period, the principal investigator plans to develop several new courses in these areas including undergraduate lab courses, continue involving undergraduates in industry sponsored projects, design more computer projects, create opportunities for minority students and students with disabilities, and, what is more important, develop a multimedia teaching method drawing on advanced technology, e.g., live audio, video, and graphical illustrations and real hardware demonstrations.