Soft-output MIMO detectors with channel estimation error

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Institute of Electrical and Electronics Engineers Inc.

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New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation. © 2014 IEEE.

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Channel estimation error, Log-likelihood ratio, Maximum likelihood, Mimo, Mmse, Qam, Amplitude modulation, Lunar surface analysis, Mean square error, Mimo systems, Quadrature amplitude modulation, Bit log-likelihood ratio, Channel estimation error (cee), Channel estimation errors, Linear minimum mean-squared errors, Log likelihood ratio, Quadrature-amplitude modulations (qam), Receiver implementation, Maximum likelihood estimation

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