A subspace blind channel estimation method for distributed MISO systems

We propose a subspace-based blind channel estimation method for distributed multi-input single-output systems, where one side of the link constitutes a largely spaced antenna array. The proposed approach, does not necessarily require that the number of receive antennas should be no less than that of transmit antennas and reduces the computational complexity. Sufficient identifiability conditions are established for the distributed channel up to an ambiguity matrix. Simulation results demonstrate the channel estimation performance is influenced by the difference of channel delays for neighboring transmit antennas to the receive antenna, and the increase of difference can result in estimation performance improvement.