Performance Evaluation of Linear Detectors for LDPC-Coded MIMO Systems
نویسندگان
چکیده
This paper investigates the performance of linear detectors namely the Minimum Mean-Squared-Error (MMSE) and the Zero-Forcing (ZF) suboptimal detection schemes for Multiple Input Multiple Output (MIMO) signals over an additive white Gaussian noise (AWGN) channel. Unlike the ZF detector which suffers from noise enhancement, it will be shown that the MMSE detector which takes noise into account performs very well when MIMO signals are coded with Low Density Parity Check (LDPC) particularly in symmetrical MIMO setups where the signal-to-interference and noise ratios are exponentially distributed. However, the MMSE detector does not generally approach the generalized maximum-likelihood detector as the noise power vanishes due to increased interference enhancement. It does, however, approach the Successive Interference Cancellation (SIC) detector which cancels out the multi-access interference (MAI). The main objective of this paper is to set the ground work for future study of more powerful MIMO detection strategies such as the Sphere Decoder, where the MMSE detector will be used to compute the initial sphere radius.
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