基于集成经验模态分解的海杂波去噪

针对实际海杂波信号非线性非平稳的特点,提出基于集成经验模态分解(EEMD)的海杂波去噪方法.利用EEMD将含有目标信号的海杂波数据分解成一系列从高频到低频的固有模态函数(IMF),通过各个IMF的自相关,分选出有用信号和噪声分量,对噪声占主导作用的IMF选用Savitzky Golay(SG)滤波方法进行消噪,将滤波后的模态分量和剩余的分量进行重构得到削噪后的信号.结合最小二乘支持向量机(LSSVM)建立混沌序列的单步预测模型,从预测误差中检测淹没在海杂波背景中的微弱信号,比较去噪前和去噪后的均方根误差,利用均方根误差评价去噪效果.实验结果表明,EEMD算法对海杂波数据去噪是有效的,去噪后所得的均方根误差0.0028比去噪前所得的均方根误差0.0119降低了一个数量级.     

Novel design of highly nonlinear photonic crystal fibers with flattened dispersion

Novel highly nonlinear photonic crystal fibers(HN-PCFs) with flattened dispersion are proposed by omitting 19 air holes as the fiber core.The simulation results show that the high nonlinearity and the flattened dispersion can be achieved simultaneously by employing only two types of air holes in the cladding.To reduce the confinement loss,the modified designs are presented.The confinement loss is below 0.1 dB/km at 1.55 μm,when seven layers of air-hole rings are introduced to the cladding.After modifying,the dispersion can change from-0.5 ps/(nm.km) to+0.5 ps/(nm.km) in the range from 1.35 μm to 2.06 μm,and the effective mode area is as low as 2.27 μm 2 at 1.55 μm.     

Frequency modulated weak signal detection based on stochastic resonance and genetic algorithm

Stochastic resonance system is subject to the restriction of small frequency parameter in weak signal detection, in order to solve this problem, a frequency modulated weak signal detection method based on stochastic resonance and genetic algorithm is presented in this paper. The frequency limit of stochastic resonance is eliminated by introducing carrier signal, which is multiplied with the measured signal to be injected in the stochastic resonance system, meanwhile, using genetic algorithm to optimize the carrier signal frequency, which determine the generated difference-frequency signal in the low frequency range, so as to achieve the stochastic resonance weak signal detection. Results show that the proposed method is feasible and effective, which can significantly improve the output SNR of stochastic resonance, in addition, the system has the better self-adaptability, according to the operation result and output phenomenon, the unknown frequency of the signal to be measured can be obtained, so as to realize the weak signal detection of arbitrary frequency.