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Synthesis of the optimal algorithm for discrimination of the optical signals taking into account their dynamic range

机译:综合考虑光信号动态范围的光信号判别最佳算法

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The problems of statistical analysis of a typical receive optical module (TROM) in the detection of a random optical signal and the synthesis of an optimal algorithm for discrimination of the optical signals in a binary communication system are solved in a paper. The envelope of optical field intensity is described by the Nakagami distribution density. Conditional Poisson distribution of the photoelectron counts and its asymptotic approximation, during limitation of the detection process by thermal noise is obtained. Statistical model of the signal and noise mixture at the TROM output consider the dynamic range of optical signal. The synthesis of the Bayesian algorithm for signals discrimination is performed taking into account the restrictions imposed by the preset TROM structure. The average error probability of signals discrimination is estimated. Conditions for feasibility of the synthesized algorithm are discussed.
机译:论文解决了在随机光信号检测中对典型接收光模块(TROM)进行统计分析以及在二进制通信系统中判别光信号的最佳算法的综合问题。中场分布密度描述了光场强度的包络线。在受热噪声限制的检测过程中,获得了光电子计数的条件泊松分布及其渐近近似。 TROM输出处的信号和噪声混合的统计模型考虑了光信号的动态范围。考虑到由预设TROM结构施加的限制,执行用于信号识别的贝叶斯算法的综合。估计信号鉴别的平均错误概率。讨论了合成算法可行性的条件。

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