Blind MIMO Channel Estimation Based on Minimum Signal Subspace

A new blind MIMO channel estimation scheme based on signal subspace(SigSS) was proposed. This method divided the signal space into several subspaces, and formed the combination of the minimum signal subspace, and then estimated each sub-channel blindly, and they were combined to get all required channel parameters. With this scheme, the computation of the original algorithm was reduced. Moreover, the blind MIMO channel estimation algorithm based on noise subspace(SS) and linear prediction(LP) were applied to this scheme. By choosing Properly Connect Sequence (PCS) the minimum noise subspace(MNS) was a special case of this scheme. Finally, the deducing of LP algorithm was emphasized based on SigSS, and its computation at cost and performance analyzed. 