Intelligent Signal Processing Algorithms for Future Wireless Communications Systems

未来无线通信系统的智能信号处理算法

• 批准号: 262017-2012
• 负责人: Psaromiligkos, Ioannis
• 金额: $ 1.53万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=571204
• 关键词: Intelligent; Signal; Processing; Algorithms; Future

Wireless communication technologies are at a pivotal point in their development as they move from supporting person-to-person voice communications to enabling person-to-person and machine-to-machine high rate data communications. As a result, the future will see a proliferation of wireless networks of varying architectures that support a multitude of services in a wide range of operating environments. This will be a particularly challenging environment for wireless devices to operate in. The radio spectrum will be flooded with transmissions that each device will have to sift in order to isolate the data intended for it, under strict power and complexity constraints imposed by the small size and low cost of wireless devices. The goal of the proposed research program is to support wireless communications in challenging environments through advances in physical layer design. More specifically, our objective is to develop a framework for the design, analysis and implementation of adaptive receiver algorithms that: 1. Addresses explicitly the fact that realistic wireless environments are non-stationary due to rapid changes in their physical characteristics and user population and, therefore, severely limit the amount of data available for receiver adaptation. 2. Permits low-complexity implementations that satisfy the strict size and power-consumption limitations of mobile devices.

无线通信技术从支持人到人的语音通信转变为实现人与人之间的人对机器和机器高利率数据通信的发展处于关键点。结果，未来将看到各种架构的无线网络的扩散，这些网络在广泛的操作环境中支持多种服务。对于无线设备而言，这将是一个特别具有挑战性的环境。在严格的功率和复杂性约束下，无线电频谱将被传输泛滥，每个设备都必须筛选为其隔离数据，以隔离该数据。 拟议的研究计划的目的是通过物理层设计的进步来支持在挑战环境中的无线通信。更具体地说，我们的目标是为自适应接收器算法的设计，分析和实施开发一个框架： 1。明确地解决了一个事实，即由于其物理特征和用户群体的快速变化，现实的无线环境是非平稳的，因此严重限制了可用于接收器适应的数据量。 2。允许低复杂性实现，以满足移动设备的严格尺寸和功率消费限制。