光纤信道混沌激光通信故障的提取与识别

Extraction and identification of chaotic laser communication in fiber channel

通过提取光纤信道混沌激光通信故障信息特征,实现通信故障诊断和识别。针对光纤激光通信信道混沌性强,故障识别难度大的难题,基于混沌经验模态分解和混叠谱特征提取,提出一种光纤信道混沌激光通信故障特征提取算法。首先构建光纤激光通信信道模型,对信道的混沌模态进行经验模态分解,得到信道的混沌特征时间尺度,提取故障信号的混叠谱特征,由此诊断识别故障。仿真结果表明,提出的光纤信道混沌激光通信故障提取算法精度较高,抗干扰性能较好,能有效实现故障提取识别。

Fauh information is extracted by optical fiber chaotic laser communication channel characteristics, communication and identification, troubleshooting. Aims at the malfunctions of optical fiber laser communication channel chaotic sex is strong, difficult to identify the problem, based on chaotic empirical mode decomposition and aliasing spectrum feature extraction, put forward a kind of based on chaos empirical mode decomposition and aliasing spectrum feature extraction of the optical fiber channel chaotic laser communication fault feature extraction algorithm,. First build a fiber laser communication channel model, the channel chaotic modal for empirical mode decomposition, get channel chaotic characteristic time scales, extract fibre channel chaotic laser communication fault signal aliasing spectrum characteristics, the diagnosis of recognition to realize fault diagnosis. Simulation results show that the extraction of optical fiber chaotic laser communication channel fault extraction algorithm precision, anti-jamming performance is good, can effectively realize the fault extraction and recognition.