Abstract
We consider the problem of joint decoding and channel estimation for linear multiple-input multiple-output channels. We assume that the receiver has no a priori knowledge of the channel parameters. The amount of training data required is reduced by using a decision feedback approach to iteratively improve channel estimates. We present experimental results for joint channel estimation and decoding of space-time channels.
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