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

—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 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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen
• Keywords: Channel State, ICASSP 2011, Optimized Training Sequences, Signal Processing, Spatial Fading Correlations