Matrix computations (3rd ed.)
Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Turbo-BLAST for wireless communications: theory and experiments
IEEE Transactions on Signal Processing
Semi-Blind Channel Estimation Using the EM Algorithm in Iterative MIMO APP Detectors
IEEE Transactions on Wireless Communications
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Gaussian codes and weighted nearest neighbor decoding in fading multiple-antenna channels
IEEE Transactions on Information Theory
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Channel estimation techniques for turbo multiple-input multiple-output receivers are addressed, which exploit a priori information to refine the poor performance of initial channel estimates solely using training symbols. We study linear minimum mean squared error channel estimation (LMMSE-CE) using second-order soft statistics to incorporate the degree of decoding reliability. Utilizing this additional information effectively minimizes the error propagation which the maximum likelihood based expectation maximization channel estimation (ML-CE) suffers. The LMMSE-CE provides a smaller mean square error of channel estimation and block error rate than the ML-CE.