A space-time coded multiple-input multiple-output orthogonal frequency-division multiplexing （MIMO-OFDM） system is considered as a solution to the future wideband wireless communication system. This paper proposes a...A space-time coded multiple-input multiple-output orthogonal frequency-division multiplexing （MIMO-OFDM） system is considered as a solution to the future wideband wireless communication system. This paper proposes an extended Kalman filtering-based （EKF-based） channel estimation method for space-time coded MIMO-OFDM systems. The proposed method can exploit pilot symbols and an extended Kalman filter to estimate channel without any prior knowledge of channel statistics. In comparison with the least square （LS） and the least mean square （LMS） methods, the EKF-based approach has a better performance in theory. Computer simulations demonstrate the proposed method outperforms the LS and LMS methods. Therefore it can offer draznatic system performance improvement at a modest cost of computational complexity.展开更多
Two kinds of lattice-basis reduction precoding schemes based on successive interference cancellation are proposed.The successive interference cancellation(SIC) structure can be obtained by either orthogonal and a righ...Two kinds of lattice-basis reduction precoding schemes based on successive interference cancellation are proposed.The successive interference cancellation(SIC) structure can be obtained by either orthogonal and a right triangular matrix(QR) decomposition,or the Vertical Bell Labs Layered Space Time(VBLAST) algorithm which provides optimal user ordering.Moreover,the extended channel approach is applied to the proposed SIC-based schemes.Simulation results show that the proposed schemes can achieve comparable BER performance to vector precoding(VP).展开更多
基金Project supported by the National Natural Science Foundation of China （Grant No.60572157）, and the National High- Technology Research and Development Program of China （Grant No.2003AA123310）
文摘A space-time coded multiple-input multiple-output orthogonal frequency-division multiplexing （MIMO-OFDM） system is considered as a solution to the future wideband wireless communication system. This paper proposes an extended Kalman filtering-based （EKF-based） channel estimation method for space-time coded MIMO-OFDM systems. The proposed method can exploit pilot symbols and an extended Kalman filter to estimate channel without any prior knowledge of channel statistics. In comparison with the least square （LS） and the least mean square （LMS） methods, the EKF-based approach has a better performance in theory. Computer simulations demonstrate the proposed method outperforms the LS and LMS methods. Therefore it can offer draznatic system performance improvement at a modest cost of computational complexity.
基金the National Natural Science Founda-tion of China (Nos. 60772100 and 60872017)the National High Technology Research and Development Program (863) of Chinal (No. 2009AA011505)
文摘Two kinds of lattice-basis reduction precoding schemes based on successive interference cancellation are proposed.The successive interference cancellation(SIC) structure can be obtained by either orthogonal and a right triangular matrix(QR) decomposition,or the Vertical Bell Labs Layered Space Time(VBLAST) algorithm which provides optimal user ordering.Moreover,the extended channel approach is applied to the proposed SIC-based schemes.Simulation results show that the proposed schemes can achieve comparable BER performance to vector precoding(VP).
