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Performance analysis for the bit-error rate of SAC-OCDMA systems

机译:SAC-OCDMA系统误码率性能分析

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摘要

Under low power, Gaussian statistics by invoking the central limit theorem is feasible to predict the upper bound in the spectral-amplitude-coding optical code division multiple access (SAC-OCDMA) system. However, this case severely underestimates the bit-error rate (BER) performance of the system under high power assumption. Fortunately, the exact negative binomial (NB) model is a perfect replacement for the Gaussian model in the prediction and evaluation. Based on NB statistics, a more accurate closed-form expression is analyzed and derived for the SAC-OCDMA system. The experiment shows that the obtained expression provides a more precise prediction of the BER performance under the low and high power assumptions. (c) 2015 Elsevier B.V. All rights reserved.
机译:在低功率下,通过调用中心极限定理进行的高斯统计可用于预测频谱幅度编码光码分多址(SAC-OCDMA)系统的上限。但是,这种情况严重低估了高功率假设下系统的误码率(BER)性能。幸运的是,精确的负二项式(NB)模型可以很好地替代高斯模型的预测和评估。基于NB统计数据,可以对SAC-OCDMA系统分析和导出更精确的闭式表达式。实验表明,所获得的表达式可在低功率和高功率假设下提供更精确的BER性能预测。 (c)2015 Elsevier B.V.保留所有权利。

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