Underwater acoustics and cavitating flow of water entry

The fluid mechanics of water entry is studied through investigating the underwater acoustics and the supercavitation. Underwater acoustic signals in water entry are extensively measured at about 30 different positions by using a PVDF needle hydrophone. From the measurements we obtain (1) the primary shock wave caused by the impact of the blunt body on free surface; (2) the vapor pressure inside the cavity; (3) the secondary shock wave caused by pulling away of the cavity from free surface; and so on. The supercavitation induced by the blunt body is observed by using a digital high-speed video camera as well as the single shot photography. The periodic and 3 dimensional motion of the supercavitation is revealed. The experiment is carried out at room temperature. The project supported by the “BaiRen Plan” of Chinese Academy of Sciences     

基于FBG非均匀反射谱特性的波纹型复合材料蒙皮渐进损伤监测

提出利用布拉格光纤光栅(FBG)非均匀反射谱监测复合材料结构渐进损伤的方法。对波纹型复合材料蒙皮样件进行有限元分析,预测蒙皮在拉伸载荷下失效过程和对应临界失效载荷大小,据此重构FBG传感器的非均匀反射谱,获得铺层失效与传感器反射谱的对应关系,并为实验光谱记录提供参考。构建一种基于FBG非均匀反射谱监测波纹型复合材料蒙皮渐进损伤的监测系统,进行拉伸实验,实验结果表明系统实测光谱与重构的反射谱趋势相同,对应失效载荷与预测值最大误差为8.6%,证明了采用FBG传感器监测波纹型复合材料蒙皮渐进损伤的可行性。该方法通过实时监测预测失效范围内FBG非均匀反射谱的变化,简单易行,测量及传导光路实现全光纤化,无需破坏试件结构,即可实现对波纹型复合材料蒙皮渐进损伤程度及铺层失效次序精确、迅速的在线监测,研究结果为智能蒙皮动态监测领域提供新的思路和实验参考。     

Designing PMF with negative tap coefficient

DIRECT global optimization algorithm is innovatively used in design of PMF. Tap coefficient is attained by achieving DIRECT algorithm with C language and Matlab language is employed to simulate the amplitude response of filters. We have designed PMF (photonic microwave filter) with negative tap coefficient and then optimize the design. The minimum shape factor is as low as 1.3180. The results show that the algorithm is highly efficient in designing filter and can produce necessary passband and stopband response characteristics. In the meantime, transition band becomes steeper in the process of further optimization and the shape factor is closer to 1.     

一种基于光纤布喇格光栅振动传感器的光纤围栏入侵监测系统及其模式识别

基于高灵敏度光纤布喇格光栅振动传感器,提出了一种光纤围栏入侵监测系统及其模式识别方法.该方法通过具有自适应动态阈值的时域统计特征提取算法对异常事件信号进行特征提取,将特征矢量输入到一个基于三层BP神经网络而设计的分类器中对目标事件进行识别和分类.通过仿真目标信号和实际采样数据进行测试,对系统的报警识别率进行了验证,结果表明:对于仿真信号,系统的平均正确识别率达到了100%;对于实际采样数据,系统的平均正确识别率可以达到96.83%.     

Integration of miniature Fabry-Perot fiber optic sensor with FBG for the measurement of temperature and strain

A sensor has been fabricated by the integration of a fiber Bragg gating sensor (FBGs) with a fiber Fabry-Perot (F-P) sensor fabricated by etching method. In the integrated sensor, the FBG was used to measure temperature, while the fiber Fabry-Perot interferometer sensor (FFPIs) was used for strain measurement. Wavelength decoding for FBG and peak tracking for FFPI was employed for demodulation, respectively. The result showed that the temperature and strain sensitivity for the integrated sensor is ~ 2.7 pm/μεand ~ 9.3 pm/°C, respectively.     

Simulative analysis of soliton-based DPSK transmission system

The effectiveness of the conventional dispersion compensation techniques: DCF, FBG and OPC to use with soliton transmission is presented. The frequency shifts of solitons induced by collisions between different channels in a soliton WDM system can be reduced by dispersion compensation. The reduction mechanism applied is the cancellation of the shifts generated in both normal and anomalous dispersion regimes. It is analyzed that phase jitter can be reduced by the use of midway spectral inversion.     

光纤Bragg光栅水听器特性及实验研究

论述了光纤Bragg光栅（FBG）水听器探头基元 （FBG）的传感特性,分析了FBG的耦合系数、反射率、反射带宽和栅长对光纤Bragg光栅水听器传感特性的影响.通过改进光纤Bragg光栅水听器探头封装结构,增加了其压力敏感系数.并将实验结果与标准水听器（压电型）比较,标定出光纤Bragg光栅水听器的声压灵敏度；对传感信号进行电路解调,得出了解调结果,结果显示与原始声波信号基本一致.试验表明,在1 kHz~25 kHz的声波检测范围,光纤Bragg光栅水听器响应平坦度好,信号输出稳定,证明文中采取的改进措施是有效的.     

16×10Gb/s啁啾光纤光栅色散补偿系统性能研究

运用啁啾光纤光栅法对在G.652光纤传输的16×10 Gb/s信号实现色散补偿数值模拟和研究,分析了入纤光功率、色散斜率以及啁啾光纤光栅色散补偿带宽对系统误码率的影响,结论是:入纤光功率在8～16 dBm之间时系统的性能较好;啁啾光纤光栅的色散补偿带宽对系统的影响较大;光纤的色散斜率对系统误码率有一定的影响.     

基于非线性啁啾光纤光栅实现的色散可调谐

从原理上证明了一种基于非线性啁啾光纤光栅以及光纤光栅的温度特性的色散可调谐方案.实验证明在25.5℃的温度变化范围内,光纤光栅对1550.43nm波长的色散补偿量从759.1ps/nm上升到1659.9ps/nm,色散调谐范围达到900ps/nm,这个方案具有对补偿波长和特定补偿波长所需要的色散补偿量同时进行调谐的特点.     

基于DEMON谱和LSTM网络的水下运动目标噪声基频检测*

传统的船舶辐射噪声基频检测方法不仅依赖大量的先验知识,而且对背景噪声非常敏感。为了提高目标识别的稳定性和精确性,本文提出了一种基于深度神经网络的基频检测算法。首先从多通道水听器信号中提取DEMON谱,然后直接将二维谱特征矩阵输入由CNN和LSTM构成的级联网络,最后通过稠密层输出实现对基频的估计。从仿真和外场试验数据得到如下结论：（1）深度网络能够实现无先验知识和不同信噪比条件下的基频检测,具有良好的泛化性能。（2）LSTM网络能够高效地从时序DEMON谱中提取统计特征,提高基频估计精度。（3）输入信号的时间长短会影响网络的检测精度,更长时间的信号能够获得更好的检测结果。