Design of diamond-shape photonic crystal fiber polarization filter based on surface plasma resonance effect

A novel plasmonic polarization filter based on the diamond-shape photonic crystal fiber(PCF) is proposed. The resonant coupling characteristics of the PCF polarization filter are investigated by the full-vector finite-element method. By optimizing the geometric parameters of the PCF, when the fiber length is 5 mm, the polarization filter has a bandwidth of 990 nm and an extinction ratio(ER) of lower than -20 dB. Moreover, a single wavelength polarization filter can also be achieved, along with an ER of -279.78 dB at wavelength 1.55 μm. It is believed that the proposed PCF polarization filter will be very useful in laser and optical communication systems.     

高速双边缘光纤光栅波长解调技术

提出一种双边缘结构对光纤光栅传感进行波长解调的方案,利用被测光谱通过不同光谱特性的滤波器时输出不同光强的比值确定被测光的波长.该系统在解调时不存在任何机械移动部分,比扫描式的解调方法测量速度更快,运行时更稳定、更精确.     

声光可调-近红外光谱技术分析烟草主要化学成分

建立了声光可调-近红外光谱方法(AOTF-NIR)检测烟草主要化学成分的方法。应用AOTF-NIR光谱仪测定了不同地区、不同等级烟草样品的近红外光谱,用Unscrambler(定量分析软件将光谱与对应的化学成分值相关联,建立了烟草中总糖、还原糖、总烟碱和钾的回归模型。用这些模型对未知样品进行了预测。总糖、还原糖、总烟碱和钾模型预测的平均相对标准偏差分别为2.71%、3.13%、4.04%和6.42%。     

智能石墨消解–ICP–MS法测定空气PM2.5中的Pb和Cd

建立电感耦合等离子体质谱(ICP–MS)测定空气PM2.5中的Pb和Cd元素的分析方法。采用连续β射线–DHS PM2.5大气颗粒物浓度监测仪采集空气中的PM2.5,以智能石墨消解PM2.5滤膜样品,ICP–MS测定其中的Pb和Cd元素含量。在优化的仪器条件下,元素Pb和Cd标准曲线的线性相关系数均为0.999 9,检出限分别为0.018,0.52ng/m3,满足HJ 657–2013的要求。Pb和Cd的加标回收率分别为95.8%~101.4%,99.3%~104.9%,测定结果的相对标准偏差分别为4.20%和2.38%(n=6)。对滤膜标准样品进行了测定,测定结果与标准值一致。该方法测定结果准确、可靠,可用于测定空气PM2.5中的Pb和Cd。     

Characterization of a Stable Adaptive Calibration Model Using Near-Infrared Spectroscopy and Partial Least Squares with a Kalman Filter

The calibration model of near-infrared (NIR) spectra established using the Kalman filter-partial least square (partial least squares combined with a Kalman filter) method can be adapted to outdated equipment, environmental changes, external samples, and other applications. However, the variance of the measurement noise estimation for NIR spectrum measurements cannot be easily obtained using Kalman filter-partial least squares; therefore, the variance in the measurement noise is often assumed to be zero for the Kalman filter-partial least square calibration model, which affects the stability of the model. In this study, the measured input and output data were used effectively, and the gamma test method for estimating the measurement noise variance was used to improve the stability of the Kalman filter-partial least square calibration model. First, an accurate estimation of the measurement noise variance was obtained, and accurate modeling was then performed using Kalman filter-partial least squares. Finally, 600 abandoned drilling fluid samples were used to confirm the validity of the proposed method. The Kalman filter-partial least square and gamma test-Kalman filter-partial least square methods are compared. Testing of external samples 401–600 demonstrated that the stability of the Kalman filter-partial least square model decreased. The root mean square error of the prediction of the Kalman filter-partial least square model was 27.135, which was worse than that of the gamma test-Kalman filter-partial least square model (20.307). The validation results show that the proposed method has better stability in tracking the evolution of the NIR spectrometer’s measurement state.     

权值自适应调整Unscented粒子滤波及其在组合导航中的应用

针对粒子滤波存在的重要性密度函数难以选取和粒子退化问题,提出了一种新的权值自适应调整Unscented粒子滤波算法。该算法在Unscented粒子滤波的采样过程中吸收权值自适应调整的优点,考虑最新量测影响,通过欧氏距离和反映量测噪声统计特性的精度因子来自适应的调整粒子对应权值分布,增加有用粒子的权值,降低粒子退化程度,保持粒子多样性。同时Unscented变换提高了滤波精度,使该算法能更好地适用于非线性、非高斯系统模型的计算。将提出的算法应用于GPS/DR组合导航系统进行仿真验证,结果表明,提出的权值自适应调整Unscented粒子滤波算法得到的东向定位误差控制在±5.5 m附近,北向定位误差则在±5.2 m附近,滤波性能明显优于扩展卡尔曼滤波和Unscented粒子滤波,能提高GPS/DR组合导航系统解算精度。     

对"联邦滤波器信息分配系数的优选算法"一文的商榷

介绍了联邦滤波算法和信息分配原理，指出《中国惯性技术学报》第11卷第6期“联邦滤波器信息分配系数的优选算法”一中存在一些问题，说明使用该优选算法进行信息分配，可能使主滤波器方差阵失去正定性；将联邦滤波用于GPS姿态测量，实验表明动态选择信息分配因子，相对于固定信息分配因子的算法并没有明显优势。     

基于新型滤波器-HABF的SINS传递对准仿真

传统动基座传递对准主要采用扩展卡尔曼滤波技术。但在动基座传递对准的非线性、非高斯条件下,这种基于模型线性化和高斯假设的滤波方法在估计系统状态及其方差时误差较大且可能发散。混合退火粒子滤波针对非线性、非高斯系统状态的在线估计问题,提出一种新的基于序贯重要性抽样的粒子滤波算法。在滤波算法中,用状态参数分解和退火系数来产生重要性概率密度函数,此概率密度函数综合考虑了转移先验、似然、噪声的统计特性以及最新的观察数据,因此更接近于系统状态的后验概率。实验仿真结果表明,这种基于混合退火粒子滤波器不仅比扩展卡尔曼滤波提高了传递对准的精度,而且又比传统的粒子算法减少了时间。     

高压换流站交流滤波器组相干噪声源声功率反演

针对高压换流站内交流滤波器组相干噪声源的声功率难以确定的问题,该文提出了一种基于几何声学理论的声功率反演方法。该方法采用可同时考虑噪声源强度和相位的几何声学理论建立相干声场模型,在此基础上构建声功率反演模型,通过寻找使声学模型输出和实测数据差异最小的声源参数(强度和相位),实现了对相干噪声源声功率的反演。数值仿真和实验数据验证了该方法的有效性。     

相似剩余格及其对应逻辑系统的完备性

引入了相似剩余格的概念,讨论了剩余格上相似算子和等价算子的关系,并得到了真值剩余格和相似剩余格相互转化的方法.其次,研究了相似剩余格上的相似滤子,利用相似滤子刻画了可表示的相似剩余格.最后,引入了相似剩余格对应的逻辑系统,证明了其完备性定理,并得到了其成为半线性逻辑的条件.