A New Iterative Decoder of Space-Time Data in Time Selective MIMO Channels

In this paper we present a new iterative decoder of Space-Time Block Coded data in the presence of carrier offsets. This decoder starts the iteration with a small amount of training data to find the initial estimate of carrier offset, channel and noise co-variance. Subsequently it attempts to find the estimate of the STBC data by an alternating maximization (AM) technique. In this way better estimates of Space–Time data are achieved after the final iteration as compared to those found without an iterative method. Thus the new decoder reduces the training overhead required by the conventional data-aided (DA) estimators for efficient estimates of carrier offsets and S–T data, and provides higher data rate.