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Improved Likelihood Probability in MIMO Systems Using One-Bit ADCs
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DOI：10.3390/s23125542.png)
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Abstract
En 中文
This study considers an improved likelihood probability in multi-input multi-output (MIMO) systems using one-bit analog-to-digital converters (ADCs). MIMO systems using one-bit ADCs are known to exhibit from performance degradation because of inaccurate likelihood probabilities. To overcome this degradation, the proposed method leverages the detected symbols to estimate the true likelihood probability by combining the initial likelihood probability. An optimization problem is formulated to minimize the mean-squared error between the true and combined likelihood probabilities, and a solution is derived using the least-squares method. Simulation results show that the proposed method obtains a signal-to-noise gain of approximately 0.3 dB to achieve a frame error rate of 10(-1) compared to conventional methods. This improvement in performance is attributed to the enhanced reliability of the likelihood probability.
Keywords:
multi-input multi-output systems
one-bit analog-to-digital converters
maximum likelihood probability
weighted combining
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