Least-Squares based channel estimation for MIMO relays

A least-squares based channel estimation algorithm is proposed for relay-assisted wireless multiple-input multiple-output (MIMO) channels. The method consists of a sequence of LS-problems with the purpose to arrive to a computationally efficient solution. The performance of the proposed algorithm is evaluated as a function of the input signal-to-noise ratio (SNR) for randomly generated Rayleigh flat fading channels. Finally, we study the effect of the channel estimation error on the performance of a MIMO zero-forcing receiver in order to verify the presented analysis.