Prediction of Fast Fading Parameters by Resolving the Multipath Interference Pattern

在过去十年中，无线通信服务的迅速扩张预计将在未来以更快的速度继续下去。这种增长产生了对适用于移动无线电中遇到的快速变化的多径衰落信道的新型调制、编码和检测方法的需求。我们提出了一种不依赖于统计特征的衰落信道估计和预测方法。在这种方法中，利用平坦衰落信号的物理性质来产生一个确定性模型，该模型可以预测整个数据块的信道。具体地说，移动无线电信号被分解成若干个由多普勒频移区分的分散分量；确定和跟踪与这些分量相关的慢变参数，并对复合衰落信号进行预测。这种方法可能潜在地导致预测和补偿严重限制无线通信系统性能的“深衰减”的能力，并将有助于开发低功率移动无线电系统。

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.