Open AccessMaximum likelihood detection with beat noise estimation for minimizing bit error rate in OCDM-based system
Author(s) -
Takahito Kirihara,
Noriki Miki,
Shigeo Kaneko,
Hirokazu Kimura,
Kiyomi Kumozaki
Publication year - 2009
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.17.012433
Subject(s) - bit error rate , beat (acoustics) , computer science , maximum a posteriori estimation , noise (video) , algorithm , word error rate , bit rate , maximum likelihood , speech recognition , mathematics , statistics , artificial intelligence , acoustics , real time computing , physics , decoding methods , image (mathematics)
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.