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We propose a maximum likelihood detection (MLD) technique that incorporates beat noise estimation (BNE). MLD can minimize a bit error rate theoretically because a bit pattern with the maximum posteriori probability is selected as the detected signals. Also, BNE can extract a specific beat noise from mixed multiple signals using a correlation. By combining these techniques, the influence of beat noise is reduced and the bit error rate becomes lower in an OCDM-based system. This paper describes the MLD algorithm and the BNE design. And numerical simulation results confirm the validity and performance of this technique.

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