利用训练序列与信息序列的不相关特性，在没有带宽损失的情况下初步估计出信道参数；

In the first place, by exploiting the uncorrelation between the training and information sequences, primary channel parameters were obtained without loss of bandwidth.

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本文依据卡尔曼滤波器在使用最佳增益时，其余差序列互不相关的性质，开发了一种新的渐消滤波算法。

A new fading filtering algorithm is developed based on the property of Kalman filter that the sequence of residuals is uncorrelated when the optimal gain is used.

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