Spatially Correlated Sparse MIMO Channel Path Delay Estimation in Scattering Environments Based on Signal Subspace Tracking

This paper presents a framework for spatially correlated sparse multiple input multiple output (MIMO) channel path delay estimation in scattering environments. In MIMO outdoor communication scenarios, channel impulse responses of different transmit-receive antenna pairs are often supposed to be sparse due to few significant scatterers, and share a common sparse pattern, such that path delays are assumed to be equal for every transmit-receive antenna pair. In fact, in a more realistic situation, and due to the presence of scatterers in the environment, it would be more practical to deal with the received signals as clusters of multi-rays around mean time delays. In this paper we deal with such situation and we propose a subspace based method for estimating the mean path delays of the channel.

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