Combined MMSE-OSIC MIMO Detector using Detection Error Estimation
نویسنده
چکیده
This paper proposes an algorithm for detection in multiple input multiple output (MIMO) communication systems. The algorithm combines minimum mean square error (MMSE) and minimum mean square error with ordered successive interference cancellation (MMSE-OSIC) detectors with detection error estimation. Neyman-Pearson criterion is used and the decision boundary is derived. It helps the implementation of the proposed algorithm in practical systems and the achieving the balance between the computational complexity and the bit error rate performance for different signal-to-noise ratios. The derived adaptive detection boundary can be applied in various other combined detector schemes. The analytical and simulation results show that the average computational complexity of the proposed algorithm approaches to the MMSE equalizer, and the error probability is comparable with the conventional MMSE-OSIC detector. Keywords— Equalization, Detection, Neyman-Pearson criteria, Minimum-mean-squared error with ordered successive interference cancellation (MMSE-OSIC), Multiple Input Multiple Output (MIMO).
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