盲ISI缓解

IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211) Pub Date : 2001-10-07 DOI:10.1109/VTC.2001.956532

Y. Mostofi, D. Cox

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引用次数: 1

摘要

在室外通信环境中，发送用于信道估计和均衡的训练序列会浪费一定比例的带宽。例如，在GSM中，17.93%的带宽专门用于传输这种已知序列。因此，如果仅使用输入星座和/或相关性知识的盲算法可以获得可接受的性能，则可以大大节省带宽。如果接收者没有这些信息，那么在合理的复杂性下，盲目适应是不可行的。针对基于tdma的通信系统，提出了一种鲁棒盲自适应结构。此外，我们还在系统建模中包含了诸如差分编码和过采样等实现问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Blind ISI mitigation

In an outdoor communication environment, a percentage of bandwidth is wasted sending a training sequence for channel estimation and equalization. For instance in GSM, 17.93% of bandwidth is dedicated to the transmission of such a known sequence. Therefore, if a blind algorithm, using only the knowledge of input constellation and/or correlation, can achieve an acceptable performance, it will save bandwidth considerably. If the receiver does not have this information, blind adaptation would not be feasible with reasonable complexity. We present a robust blind adaptation structure for TDMA-based communication systems. Also, we include implementation issues such as differential coding and oversampling in our system modeling.

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IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211)

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