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

Abstract

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.