一种激光多普勒测速仪辅助捷联惯导在线标定方法

针对惯组长期贮存过程中陀螺和加速度计零偏漂移的问题, 提出了一种利 用激光多普勒测速仪辅助捷联惯导的在线标定方案。给出了包括激光多普勒测速仪安装 误差角和惯组安装误差角的航位推算误差方程。基于航位推算误差方程建立了闭环卡尔 曼滤波器,对惯组零偏误差、激光多普勒测速仪安装误差角和惯组方位安装误差角进行 在线标定。仿真结果表明,加速后激光多普勒测速仪安装误差角和惯组方位安装误差角 得到估计;方位角改变后惯组零偏误差也得到估计。该方法允许跑车前不用综合标定, 直接装订前一次的安装角参数,缩短了准备时间。     

基于FPGA的自适应陷波器研究和设计

对基于FPGA的自适应滤波器进行了研究.首先,分析了最小均方根(LMS)算法原理,并介绍了陷波器的稳定性问题.然后,提出了一种基于FPGA的自适应滤波器的实现方法,并进行了仿真验证.最后搭建了试验平台验证了陷波器的功能.仿真和试验结果表明,该自适应陷波器有良好的滤波功能.     

基于IMM理论的大型舰船被动定位算法研究

针对相控阵导引头跟踪航母等大型舰船目标的要求,为了给雷达成像进行运动补偿、给目标识别提供更多的先验信息,必须对目标运动参数进行准确的估计,但是常规被动定位算法通常采用单一目标运动模型,难以适应大型军舰运动规律的多样化,导致模型不匹配,使得误差较大,难以对目标参数进行准确估计,为解决上述问题,提出了一种基于交互式多模型(IMM)理论的大型舰船被动定位方法,使用不同的模型来匹配舰船不同的运动状态。仿真结果表明,提出的方法与常规的被动定位算法相比,定位精度明显提高,且易于工程实现。     

Adaptive recognition and correction of baseline shifts from collocated GPS and accelerometer using two phases Kalman filter

The real-time recognition and precise correction of baseline shifts in strong-motion records is a critical issue for GPS and accelerometer combined processing. This paper proposes a method to adaptively recognize and correct baseline shifts in strong-motion records by utilizing GPS measurements using two phases Kalman filter. By defining four kinds of learning statistics and criteria, the time series of estimated baseline shifts can be divided into four time intervals: initialization, static, transient and permanent. During the time interval in which the transient baseline shift is recognized, the dynamic noise of the Kalman filter system and the length of the baseline shifts estimation window are adaptively adjusted to yield a robust integration solution. The validations from an experimental and real datasets show that acceleration baseline shifts can be precisely recognized and corrected, thus, the combined system adaptively adjusted the estimation strategy to get a more robust solution.     

基于QoS的面向消费者的服务发现

当前万维网服务发现机制并没有考虑消费者对服务质量的需求,消费者需要花很多时间来选择满足自己服务质量的服务.采取了一个QoS (Quality of Service)过滤器,采用服务质量属性量化方法和一个服务质量匹配算法来选取符合消费者服务质量要求的服务,并把服务存储在本地缓存中.这种方法考虑到消费者对服务质量的要求,减少访问远程发现服务器的次数,加快了服务发现速度.通过对本地服务添加标注和关键字来支持消费者服务的个性化.     

REALIZATION OF FUZZY-FILTER CONTROL ON A BRUSHLESS AC GENERATOR

AC generators have adopted transistor volt-age regulators widely traditionally.The researchon the digital voltage regulators has arousedstrong interest[1～ 3] .The digital voltage regula-tors have some advantages on the transistor reg-ulators[4 ] :　　 ( 1 ) They can realize advanced control algo-rithm;　　 ( 2 ) They have communication function;　　 ( 3) They have data record function.　　 Recently,the DSPs ( Digital Signal Proces-sors) have been widely applied in digital controlarea with…     

RESEARCH ON THE METHODS OF IMPROVING DGPS POSITIONING PRECISION

A DGPS positioning model is described, and the elements that influence DGPS positioning precision are analyzed in detail. On this basis, the methods of improving DGPS positioning precision are proposed which include increasing updating rate of DGPS correction, building extended DGPS system and improving quality of DGPS correction signal. In the intelligent monitor and control system of the public transport in Beijing, these methods improve the vehicle positioning precision to 2～5m.     

DESIGN OF DISTURBANCE DECOUPLED FILTER AND ITSAPPLICATION TO MANEUVERING TARGETS TRACKING

A dnovel isturbance decoupled filter (DDF) design scheme is presented. Firstly, the system with unknown input is translated into an equivalent system without unknown imputs by a simple algebraic transformation. Then, a new DDF design scheme, which is very simple, is proposed via innovations theorem. At last, the application of DDF to Maneuvering Targets Tracking is simulated and the simulation results show that DDF is suitable for high maneuvering cases.     

基于曲线拟合的反辐射旋转弹预测滤波算法

针对反辐射导弹测角精度不高、易受干扰问题,结合干涉仪体制反辐射旋转弹的测角方法,提出了一种基于曲线拟合的实时预测滤波算法。首先介绍了干涉仪体制旋转弹的测角原理和数据拟合原理,然后结合弹道完成了建模仿真,仿真结果表明:该算法可以有效剔除坏点,并能大大提高测角精度。     

基于边缘采样的简化高阶CKF在非线性快速传递对准中的应用

针对舰载机惯导系统非线性传递对准问题中误差模型不完善的问题，同时考虑了挠曲运动和动态杆臂的影响，提出了一种新的适用于大方位失准角情形下的挠曲变形和杆臂效应加速度一体化误差模型。采用高阶容积卡尔曼滤波（HCKF）算法对状态进行滤波估计，考虑到HCKF具有较大的计算量，分析了传递对准模型的状态方程与量测方程结构，设计了一种基于边缘采样的简化高阶容积卡尔曼滤波（M-RHCKF）算法，其在时间更新中使用边缘采样算法，在量测更新过程中使用简化量测更新过程，并给出了该算法的证明过程。采用"速度+姿态"组合匹配方式，对提出的误差模型进行仿真实验。结果表明，该模型可以满足对准精度和对准时间的要求，相比于未考虑动态杆臂的传递对准模型具有更高的对准精度。