CAREER: An Integrated Cyclostationary Signal Processing Framework for Optimized and Robust Wireless Communications

提案：一种用于优化和鲁棒无线通信的集成循环平稳信号处理框架PI：Erchin Serpedin博士摘要：未来高速无线通信网络的成功发展需要在自适应信号处理算法方面取得重大进展，这些算法目前用于时变信道的同步、估计和均衡。这项研究涉及到一个通用的和新的框架，设计强大的和最佳的频谱效率的信道估计，同步和均衡算法的发展。工作的关键要素包括开发用于设计和分析时间选择性和平坦衰落信道中的非数据辅助联合载波频率偏移/多普勒频移和符号定时估计器的统一框架，开发用于时间和频率选择性衰落信道的估计和均衡的鲁棒非数据辅助框架，以及开发用于到达天线阵列的多径信号的同步和估计的鲁棒非数据辅助空时信号处理框架。拟议的研究提供了丰富的创新教育项目的课程和实验室instruction.Level的努力声明：在建议的支持水平，研究人员将尽一切努力，以满足项目的原始范围和努力水平。

Proposal: An Integrated Cyclostationary Signal Processing Framework for Optimized and Robust Wireless CommunicationsPI: Dr. Erchin SerpedinABSTRACT: The successful evolution of the future high-speed wireless communication networks requires significant advances in adaptive signal processing algorithms that are currently employed for synchronization, estimation and equalization of time-varying channels. This research involves the development of a general and novel framework for designing robust and optimal spectrally efficient channel estimation, synchronization, and equalization algorithms. Key elements of the work include development of a unified framework for designing and analyzing non-data aided joint carrier frequency-offset/Doppler shift and symbol timing estimators in time-selective and flat-fading channels, development of a robust non-data aided framework for estimation and equalization of time- and frequency-selective fading channels, and development of a robust non-data aided space-time signal processing framework for synchronization and estimation of multipath signals arriving at an antenna array. The proposed research offers a wealth of innovative educational projects for course and laboratory instruction.Level of Effort Statement:At the recommended level of support, the investigator will make every attempt to meet the original scope and level of effort of the project.