Error-entropy based channel state estimation of spatially correlated MIMO-OFDM

H.D. Tuan, H.H. Kha, H.H. Nguyen
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) channel states in the presence of spatial fading correlations. The optimization criterion is the entropy minimization of the error between the high multidimensional and correlated channel state and its estimator. The globally optimized training sequences are exactly solved by a semi-definite programming (SDP) of tractable computational complexity
more » ... ional complexity O((Mt(Mt + 1)/2) 2.5 ), where Mt is the transmit antenna number. With new tight two-sided bounds for the objective function, the optimal value of the generic SDP can be approximately solved by the standard water-filling algorithm. Intensive simulation results are provided to illustrate the performance of our methods.
doi:10.1109/icassp.2011.5947132 dblp:conf/icassp/TuanKN11 fatcat:kcnu22w42zenxlfyp3rqbk6wpe