This paper considers multicell multiuser MIMO systems with very large antenna arrays at the base station. We propose an eigenvalue decomposition-based approach to channel estimation, that estimates the channel blindly from the received data. The approach exploits the asymptotic orthogonality of the channel vectors in very large MIMO systems. We show that the channel to each user can be es timated from the covariance matrix of the received signals, up to a remaining scalar multiplicative ambiguity. A short training sequence is required to resolve this ambiguity. Furthermore, to improve the performance of our approach, we combine it with the iterative least square with projection (ILSP) algorithm. Numerical results verify the effectiveness of our channel estimation approach.
The eigenvalue-decomposition-based approach of Ngo and Larsson REF estimated the channel blindly based on the received data, which exploited the asymptotic orthogonality of the channel vectors in large MIMO systems.
EVD-based channel estimation in multicell multiuser MIMO systems with very large antenna arrays
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Computer Science