自动引导车电池SOC估算方法研究

自动引导车(AGV车)工况特殊,电流积分法估算电池剩余容量(SOC)误差较大,而且存在累积误差。为了提高AGV车电池剩余容量估算的准确度,对扩展卡尔曼滤波法估算AGV车电池剩余容量进行了研究,分析了AGV车特殊工况,提出将扩展卡尔曼滤波法的滤波增益改进为动态调整滤波增益,有效提高扩展卡尔曼滤波法的跟踪效果。实验表明使用扩展卡尔曼滤波法估算AGV车电池剩余容量精度较高,采用动态校正的滤波增益提高了估算过程的跟踪效果,解决了AGV车电池剩余容量估算不准确的问题。     

Optical vernier filter with cascaded double-coupler compound fiber loop resonators

A simple optical vernier filter with cascaded double-coupler compound fiber loop resonators is proposed. The proposed filter consists of two individual double-coupler compound fiber loop resonators. The circulating and transmitted output fields and intensities, as well as some performance parameters such as the contrast, finesse and free spectral range, are computed and presented in graphical form. A comparison between this proposed vernier filter and one individual double-coupler compound fiber loop resonator is made. The simulation results show that the contrast and finesse of the proposed vernier filter can be increased remarkably compared to the individual one double-coupler compound fiber loop resonator. And it is found that the free spectral range of the proposed filter can be enhanced by the vernier operation. These results are useful when the proposed vernier filter is used to construct narrow-bandwidth filters and single-frequency fiber lasers.     

一种提高差分GPS基准站定位精度的新方法

在差分GPS系统的应用中，基准站的精确定位是一个重要问题，本文首先介绍了C/A码差分GPS基准站的精确定位的一般方法，着重对在实践中最常用的简单平均方法做了详细分析，针对简单平均方法的不足之外，提出了一种基于精确衰减因子（DOP）加权的卡尔曼滤波方法，实验结果表明，本文提出的C/A码差分GPS基准站定位方法能够有效地提高定位精度。     

声光可调谐滤波器成像光谱仪实时预处理系统

为了快速实时地预处理声光可调谐滤波器（AOTF）成像光谱仪的数据,分析了AOTF成像光谱仪数据特点及预处理算法,采用数字信号处理器（DSP）作为核心器件代替传统的PC机处理平台,提出了一种基于两片ADSP-TS201的外部总线共享与链路口混合耦合的双DSP并行处理系统方案。结合实际需求,设计了流水线处理方式并合理分配预处理任务。用实验方法对系统的功能进行了验证,结果表明：双DSP并行处理系统完成一帧AOTF成像光谱仪数据的预处理仅需23.5 ms,比原有PC机处理速度提高了13倍左右,满足了实时性要求,促进了AOTF成像光谱仪系统化、模块化、小型化并兼具实时处理能力的发展。     

Practical acceleration for computing the HITS ExpertRank vectors

A meaningful rank as well as efficient methods for computing such a rank are necessary in many areas of applications. Major methodologies for ranking often exploit principal eigenvectors. Kleinberg’s HITS model is one of such methodologies. The standard approach for computing the HITS rank is the power method. Unlike the PageRank calculations where many acceleration schemes have been proposed, relatively few works on accelerating HITS rank calculation exist. This is mainly because the power method often works quite well in the HITS setting. However, there are cases where the power method is ineffective, moreover, a systematic acceleration over the power method is desirable even when the power method works well. We propose a practical acceleration scheme for HITS rank calculations based on the filtered power method by adaptive Chebyshev polynomials. For cases where the gap-ratio is below 0.85 for which the power method works well, our scheme is about twice faster than the power method. For cases where gap-ratio is unfavorable for the power method, our scheme can provide significant speedup. When the ranking problems are of very large scale, even a single matrix–vector product can be expensive, for which accelerations are highly necessary. The scheme we propose is desirable in that it provides consistent reduction in number of matrix–vector products as well as CPU time over the power method, with little memory overhead.     

环形耦合器的设计与优化

基于微带半波矩形开环谐振器具有的特性,结合传统耦合技术和微波设计软件,设计了窄带带通滤波器。设计中包括提出修正后的基板有效介电常数计算公式、耦合间隙的计算、带通滤波器的设计以及分析拐角对滤波器性能的影响,并提出了优化方法。实际仿真表明,基于交叉耦合的技术配合耦合间隙查询使得滤波器设计简单明了。     

星敏感器低频误差在轨补偿方法

为了抑制地面标定与在轨工况差异引入的低频误差,提出了一种低频误差在轨补偿方法,基于地面标定求得主点、焦距初始值与畸变系数,筛选出符合条件的星对,以星对角距误差最小为准则,基于扩展卡尔曼滤波方法,实时更新星敏感器的焦距值.与现有的多参数同时更新方法相比,该方法具有更快的收敛速度与更高的鲁棒性.多次观星试验和在轨飞行验证了本方法的有效性,星对角距误差均值减小90%以上,低频误差减小40%以上.     

光纤陀螺零漂数据滤波方法的研究

在对光纤陀螺零偏稳定性数据建立时间序列模型（ARMA模型）的基础上,采用卡尔曼滤波算法对光纤陀螺的漂移数据进行了处理,并采用Allan方差法和最小二乘法对滤波后的数据进行了处理,拟合,最后求出滤波后数据中各噪声的误差系数。     

利用GPS和惯性传感器的融合和集成实现车辆定位

首先介绍了常用的车辆定位技术 :全球卫星定位系统 (GPS)和航位推算法 (DR) ,并分析各自的优缺点 ,然后提出用卡尔曼滤波 (KalmanFilter)技术来实现GPS和惯性传感器的融合和集成的组合定位 .最后给出了现场测试的结果 ,证明方法的有效性 .     

两飞行体相对定位技术及其滤波算法研究

为了解决两飞行体相互之间的定位问题,在二维平面运动模型的基础上提出了相位差变化率定位方法,进行了可观测分析,给出了可观测分析结果。同时简单介绍了几种典型
非线性滤波算法,并将EKF（Extended Kalman Filter）、UKF（Unscented Kalman Filter）、PF(Particle Filter）等非线性滤波方法应用到定位模型中。仿真结果表明,UKF方法用时最短,PF滤波方法精度最高。