Prediction of Fast Fading Parameters by Resolving the Multipath Interference Pattern

通过解决多径干扰模式来预测快衰落参数

• 批准号: 9726033
• 负责人: Alexandra Duel-Hallen
• 金额: $ 6万
• 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: 1997
• 资助国家: 美国
• 起止时间: 1997-08-01 至 1999-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9726033&HistoricalAwards=false
• 关键词: Prediction; Fast; Fading; Parameters; Resolving

Rapid expansion of wireless communication services during the last decade is expected to continue at an even faster pace in the future. This growth creates a demand for novel modulation, coding, and detection methods suitable for the rapidly varying multipath fading channels encountered in mobile radio. We propose to investigate a new approach to the estimation and prediction of the fading channel which does not rely on statistical characterization. In this method, the physical nature of the flat fading signal is exploited to yield a deterministic model that predicts the channel for an entire block of data. Specifically, the mobile radio signal is decomposed into several scattered components distinguished by their Doppler shifts; the slowly varying parameters associated with these components are determined and tracked, and the composite fading signal is predicted. This approach may potentially result in the ability to anticipate and compensate for the "deep fades that severely limit the performance of wireless communication systems and will aid in the development of low-power mobile radio systems.

在过去十年中，无线通信服务的快速扩展预计在未来将以更快的速度继续。 这种增长产生了对适用于移动的无线电中遇到的快速变化的多径衰落信道的新颖调制、编码和检测方法的需求。 我们提出了一种新的方法来估计和预测的衰落信道，不依赖于统计特性。 在该方法中，利用平坦衰落信号的物理性质来产生预测整个数据块的信道的确定性模型。 具体地说，移动的无线电信号被分解成几个分散的成分区分其多普勒频移，与这些组件的缓慢变化的参数被确定和跟踪，并预测的复合衰落信号。 这种方法可能导致预测和补偿严重限制无线通信系统性能的“深衰落”的能力，并将有助于低功率移动的无线电系统的开发。