Joint Time-Domain Tracking of Channel and Frequency Offsets for MIMO OFDM Systems
Wireless Personal Communications: An International Journal
Adaptive Channel Estimation Using Pilot-Embedded Data-Bearing Approach for MIMO-OFDM Systems
IEEE Transactions on Signal Processing
Optimal training design for MIMO OFDM systems in mobile wireless channels
IEEE Transactions on Signal Processing
Toward real-time adaptive low-rank LMMSE channel estimation of MIMO-OFDM systems
IEEE Transactions on Wireless Communications
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Recursive minimum mean-square-error estimation (MMSE) with low-complexity computation is considered for on-line implementation of channel acquisition in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The channel correlation matrix is estimated by three approaches respectively, i.e., averaging measurements, direct tracking signal subspace of measurements and iterative calculation from measurements. Simulations demonstrate that the MMSE-based algorithms will obtain higher accuracy than least square estimation and its recursive pattern. In comparison of the three approaches, it is shown that the method of tracking signal subspace of measurements, which can separate the measurement space into signal subspace and its orthogonal noise subspace, is comparable to optimal MMSE estimation.