Solar wind-driven electron radiation belt response functions at 100-min time scales

We present a simple yet numerically robust technique, using autoregressive linear filters, to remove unwanted “colored noise” from solar wind and radiation belt electron data at sub-daily resolution. The remaining signal is then studied using finite impulse response linear prediction filters to represent the driven portion of the linear dynamics that describe the coupling between solar wind speed and electron flux. Sub-daily resolution response profiles covering magnetic L-shells between 1.1 and 8.0 R_E are presented which are consistent with daily resolution response functions. Namely, while there is strong global coherence governing electron flux dynamics, there are at least two distinct responses. The first response is an immediate dropout of electrons between L = 4 and L = 7 that is at least a partly adiabatic effect associated with enhancements in the ring current. This is followed by a 1–2 day delayed enhancement across the same L-shells that is likely a result of increased radial diffusion. The second response is an immediate enhancement seen between L = 3 and L = 4 with a typical duration of less than one day. Plausible explanations for this second response are briefly discussed, but neither empirical nor theoretical evidence can establish conclusively a definite physical cause. Finally, the response profiles show significant solar cycle and seasonal dependencies, indicating that better model output might be achieved with: (1) additional simultaneous solar wind inputs; (2) more sophisticated dynamical model structures capable of incorporating non-linear feedback; and/or (3) time-adaptive linear filters that can track non-stationary dynamics in time.     

改进的推广KALMAN滤波器在导弹被动制导中的应用

本文研究将改进的推广Ｋａｌｍａｎ滤波器应用于导弹被动制导问题。为了提高系统的可观性，我们采用一种双重指标来设计最优导引律。仿真结果表明，如何系统状态的均值较高，波动较小，那么ＭＥＫＦ的估计精度明显优于推广Ｋａｌｍａｎ滤波器。     

空间拦截中只测量视线角速度的跟踪滤波器的可观性分析

建立了空间拦截中导弹与目标的相对运动方程。论述了卡尔曼滤波器的可观性准则，研究了跟踪滤波器的可观性，并分析了影响跟踪滤波器可观性的因素。数字仿真证实了理论的正确性。     

FIR滤波器在导引头系统半实物仿真中的应用

为抑制导引头所受的多路径干扰，对有限长单位脉冲响应(FIR)滤波器的应用进行了理论分析，并给出了一个FIR滤波器的设计实例。导引头系统半实物仿真实验表明，实验结果与设计要求基本吻合。     

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.     

采样量化与滤波对圆锥补偿算法影响对比分析

研究了圆锥运动情况下陀螺角增量采样量化对姿态误差的影响, 对比分析 了单子样算法、三子样扩展频率级数算法和三子样显式频率整形算法,理论推导给出陀 螺角增量分辨率造成的量化误差方差和圆锥算法姿态误差方差间关系的理论表达式。推 导公式及蒙特卡罗仿真结果表明,除通过脉冲细分提高陀螺角增量分辨率外,低通滤波 和提高姿态更新频率也可减小量化误差对姿态解算的误差影响。     

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.