CAREER: Signal Processing for Software Radio Wireless Systems

无线移动通信成本的稳步下降和部署的不断增加，使其越来越受欢迎。例如，软件无线电基站的趋势为无线通信中的创新基带信号处理技术开辟了一条新的可能途径，由于实际系统的复杂性和跨学科性质，这反过来又给学术研究带来了新的挑战。未来高性能无线系统的发展需要整合跨越通信和信号处理学科的广泛领域的技术进步。本研究涉及到无线通信实验室的开发和设计，以及高性能天线阵列CMDA无线网络的实现。围绕复杂性和稳健性等关键问题，研究人员寻求理论上合理的和算法上可行的解决无线移动系统特有的多径衰落问题的方案。新系统的关键是一种自适应码分多址接收器，它能够在不使用训练序列的情况下跟踪环境变化。这里开发的新方法以统一的方式利用了空间和时间的多样性，从而在不引入不必要的复杂性的情况下实现了最佳性能。

The steadily decreasing cost of wireless mobile communications and its growing deployment have resulted in its increased popularity. The trend towards software radio base-station, one such instance, opens up a new avenue of possibilities for innovative baseband signal processing technologies in wireless communications which in turn, introduces new challenges in academic research due to the complex and interdisciplinary nature of practical systems. The development of future high performance wireless systems requires the integration of technological advances that span a broad area of communications and signal processing subjects. This research involves the development and design of a wireless communication laboratory, and the implementation of a high performance antenna array CMDA wireless network. Focussing on critical issues like complexity and robustness, the investigator seeks theoretically sound and algorithmically feasible solutions to the multipath fading problem unique to wireless mobile systems. Key to the new system is a self-adaptive CDMA receiver that is capable of tracking environmental variations without the use of training sequences. The novel methodologies developed here take advantage of both spatial and temporal diversities in a unified fashion, thereby allowing optimum performance to be realized without introducing undue complexity.