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采用琼斯矩阵与随机耦合的波片模型(Monte-Carlo)方法相结合研究了在偏振模色散(PMD)和偏振相关损耗 (PDL)共同作用下,超短光脉冲经光纤传输后脉冲被展宽的统计特性。结果表明,通过与偏振模色散的相互作用,偏振相关损耗可以引起光脉冲的压缩效应,同时脉冲展宽和压缩的概率密度分布与光纤偏振模色散及偏振相关损耗的相对数值存在十分密切的关系。在偏振模色散为0．05 ps／km1/2,光纤长度为75km的情况下,当偏振相关损耗均值从0．07dB／km增加到 0．49dB／km时,光脉冲被压缩的概率从4．3％增大到92．9％。无论何种情况下,脉冲压缩和展宽的概率密度均可用瑞利-麦克斯韦分布函数进行描述。
The Jones matrix and the stochastic coupled Monte Carlo method are used to study the effects of polarization mode dispersion (PMD) and polarization-dependent loss (PDL) on the pulse broadening Statistical characteristics. The results show that the polarization-dependent loss can cause the compression effect of optical pulse through the interaction with polarization mode dispersion, and the probability density distribution of pulse broadening and compression is closely related to the relative value of polarization mode dispersion and polarization-dependent loss of optical fiber. With polarization mode dispersion of 0.05 ps / km1 / 2 and fiber length of 75 km, the probability of the light pulse being compressed decreases from 4 when the mean value of polarization dependent loss increases from 0.07 dB / km to 0.49 dB / km .3% increased to 92.9%. In any case, the probability density of pulse compression and broadening can be described by the Rayleigh-Maxwell distribution function.