EARS: Compact Adaptive MIMO Receivers

EARS：紧凑型自适应 MIMO 接收器

• 批准号: 1343309
• 负责人: Brian Floyd
• 金额: $ 108万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1343309&HistoricalAwards=false
• 关键词: EARS; Compact; Adaptive; MIMO; Receivers

EARS: Compact Adaptive MIMO ReceiversBrian A. Floyd, Jacob J. Adams, and Brian L. HughesDepartment of Electrical and Computer EngineeringNorth Carolina State UniversityIntellectual Merit: Research on multi-input multi-output (MIMO) communications has shown that using multiple antennas at both the transmitter and receiver can dramatically improve the capacity of wireless multipath channels. Since many wireless devices are limited in size, using multiple antennas requires close spacing which leads to strong, frequency-dependent coupling between antennas. Coupling can profoundly reduce received power, diversity and capacity. Prior work suggests that impedance matching at the receiver can reclaim most of the lost system capacity; however, these matching networks can be complex and difficult to implement, and they must adapt to changing channel and antenna conditions. Finally, existing antennas for MIMO systems are designed in an ad hoc manner, with no consideration given to finding methods to fully capture all available degrees of freedom and maximize the capacity of the aperture. The goal of this project is to combine information theory, antenna engineering, and radio-frequency (RF) circuit design to enable new approaches to realize compact broadband multi-antenna receivers. The overall approach is to develop multi-mode antennas, reconfigurable receivers, and communication algorithms that act in concert to maximize capacity of the underlying channel. Specifically, a systematic method will be developed to design MIMO antennas based on information-theoretic metrics, such as capacity, by controlling and shaping mutual coupling of the eigenmodes. Novel MIMO receivers will also be developed that employ reconfigurable baseband impedance matching networks which are frequency translated to RF using passive mixer-first architectures. Finally, communication and signal processing algorithms will be developed that can efficiently sense and adjust the matching networks in response to changing channel conditions. To evaluate these new technologies, a hardware test-bed will be constructed consisting of a two-port adaptive MIMO receiver, two-port compact antenna, and a digital interface for control and signal processing. Ultimately, the scaling of performance and complexity will be explored as the techniques are extended to larger multi-port systems.Broader Impacts: This multi-disciplinary project provides a holistic view of MIMO receiver design and develops new models, antenna design methods, communications algorithms and matching techniques which could significantly increase the capacity and performance of future cellular and wireless local area networks. If successful, this project would enable MIMO techniques to be employed even in physically small receivers with strong antenna mutual coupling, allowing increased data rates, larger range, and/or longer battery lives. The combination of theory and experiment will provide opportunities for student participation at all levels.

ear：紧凑型自适应MIMO接收机Brian A. Floyd, Jacob J. Adams和Brian L. hughes北卡罗莱纳州立大学电气与计算机工程系智力优势：多输入多输出（MIMO）通信的研究表明，在发射器和接收器上使用多个天线可以显着提高无线多径信道的容量。由于许多无线设备在尺寸上是有限的，使用多个天线需要紧密的间隔，这导致天线之间强烈的频率依赖耦合。耦合会大大降低接收功率、多样性和容量。先前的研究表明，接收机的阻抗匹配可以回收大部分丢失的系统容量；然而，这些匹配网络可能很复杂且难以实现，并且它们必须适应不断变化的信道和天线条件。最后，现有的MIMO系统天线以一种特别的方式设计，没有考虑找到充分捕获所有可用自由度和最大化孔径容量的方法。该项目的目标是结合信息论、天线工程和射频（RF）电路设计，以实现紧凑型宽带多天线接收器的新方法。总体方法是开发多模天线、可重构接收器和通信算法，它们协同行动以最大化底层信道的容量。具体而言，将开发一种系统的方法来设计MIMO天线基于信息理论指标，如容量，通过控制和塑造本征模式的相互耦合。新型MIMO接收机也将被开发，采用可重构基带阻抗匹配网络，使用无源混频器优先架构将频率转换为射频。最后，通信和信号处理算法将被开发，能够有效地感知和调整匹配网络，以响应不断变化的信道条件。为了评估这些新技术，将构建一个硬件试验台，该试验台由双端口自适应MIMO接收器、双端口紧凑型天线以及用于控制和信号处理的数字接口组成。最终，随着技术扩展到更大的多端口系统，将探索性能和复杂性的扩展。更广泛的影响：这个多学科项目提供了MIMO接收机设计的整体视图，并开发了新的模型、天线设计方法、通信算法和匹配技术，这些技术可以显著提高未来蜂窝和无线局域网的容量和性能。如果成功，该项目将使MIMO技术能够应用于具有强天线互耦的小型接收器，从而实现更高的数据速率、更大的范围和/或更长的电池寿命。理论与实验的结合将为学生提供参与各个层面的机会。