Enabling MIMO Communication for Complex Channels

为复杂通道启用 MIMO 通信

• 批准号: 0823927
• 负责人: Cynthia Furse
• 金额: --
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0823927&HistoricalAwards=false
• 关键词: Enabling; MIMO; Communication; Complex; Channels

The objective of this research is to develop the critical analytical framework for Multiple Input Multiple Output (MIMO) communication in complex channels. Existing MIMO capacity calculation software will be enhanced by including complex channel models for vehicles, lossy biological channels, and highly noisy channels. We will also integrate detector models with the electromagnetic and communication MIMO models, and verify the models via measurement. Intellectual Merit:Today's MIMO models do not include an accurate representation of non-Gaussian, ultra-reflective, depolarizing, and highly lossy channels seen in many personal communication channels, body-worn or implanted medical communication channels, highly reflective and lossy ('Hyper-Raleigh') channels typical of intra-vehicular communication for sensor networks inside aircraft, cars, buses, trains, ships, etc., most wireless ad-hoc network environments, or the human body scattering channel for medical imaging. This research program will provide more advanced channel models for MIMO. This will enable specialized MIMO design for each application, providing a far greater probability of initial success for the deployed systems. Broader Impacts:This research addresses unmet communication demand for future wireless devices. In addition to the significant societal, medical, and financial aspects of that potential advancement, the research will be directly integrated into coursework at the University of Utah.

本研究的目的是发展的多输入多输出（MIMO）通信在复杂的信道中的关键分析框架。 现有的MIMO容量计算软件将通过包括车辆、有损生物信道和高噪声信道的复杂信道模型来增强。 我们还将把探测器模型与电磁和通信MIMO模型相结合，并通过测量来验证模型。 智力优点：当今的MIMO模型不包括在许多个人通信信道、身体佩戴或植入的医疗通信信道、用于飞机、汽车、公共汽车、火车、船舶等内的传感器网络的车内通信的典型的高反射和有损（“Hyper-Raleigh”）信道中看到的非高斯、超反射、去偏振和高损耗信道的准确表示，大多数无线ad-hoc网络环境或用于医学成像的人体散射信道。 该研究计划将为MIMO提供更先进的信道模型。 这将为每个应用提供专门的MIMO设计，为部署的系统提供更大的初始成功概率。 更广泛的影响：这项研究解决了未来无线设备未满足的通信需求。 除了这一潜在进步的重要社会、医学和金融方面外，这项研究还将直接融入犹他州大学的课程。