多渐消因子Kalman滤波器在SINS初始对准中的应用(英文)

针对系统模型和统计信息不能精确已知的条件下Kalman滤波无法给出最优解这一问题,单一渐消因子Kalman滤波算法对于简单的系统是有效的,但是对于复杂的多变量系统,仅仅利用单个的渐消因子是不够的。本文提出了一种多渐消因子滤波算法,通过利用开窗法计算新息序列协方差的无偏估计获得渐消因子矩阵。利用渐消因子矩阵调节一步预测均方误差矩阵k|k1P,对不同的滤波通道提供不同的渐消速率。将该方法应用于SINS的初始对准中,仿真和试验结果表明:当真实系统噪声统计特性同设定参数不一致时,对准精度明显高于其他滤波算法。其对不确定性噪声具有较低的敏感度,对系统参数具有较好的滤波效果。因而,在实际应用中具有重要的参考价值。     

A Fault-tolerance Estimating Method for Ionosphere Corrections in Satellite Navigation System

 Aiming to the reliable estimates of the ionosphere differential corrections for the satellite navigation system in the presence of the ionosphere anomaly, a fault-tolerance estimating method, which is based on the distributed Kalman filtering, is proposed. The method utilizes the parallel sub-filters for estimating the ionosphere differential corrections. Meanwhile, an infinite norm (IN) method is proposed for the detection of the ionosphere irregularity in the filter processing. Once the anomaly is detected, the sub-filter contaminated by the anomaly measurements will be excluded to ensure the reliability of the estimates. The simulation is conducted to validate the method and the results indicate that the anomaly can be found timely due to the novel fault detection method based on the infinite norm. Because of the parallel sub-filter architecture, the measurements are classified by the spatial distribution so that the ionosphere anomaly can be positioned and excluded more easily. Thus, the method can provide the robust and accurate ionosphere differential corrections.     

Improved Wavelet-based Spatial Filter of Damage Imaging Method on Composite Structures

Piezoelectric sensor array-based spatial filter technology is a new promising method presented in research area of structural health monitoring (SHM) in the recent years. To apply this method to composite structures and give the actual position of dam-age, this paper proposes a spatial filter-based damage imaging method improved by complex Shannon wavelet transform. The basic principle of spatial filter is analyzed first. Then, this paper proposes a method of using complex Shannon wavelet transform to construct analytic signals of time domain signals of PZT sensors array. The analytic signals are synthesized depending on the principle of the spatial filter to give a damage imaging in the form of angle-time. A method of converting the damage imaging to the form of angle-distance is discussed. Finally, an aircraft composite oil tank is adopted to validate the damage imaging method. The validating results show that this method can recognize angle and distance of damage successfully.     

涡轴发动机自适应混合诊断模型高斯加权聚类方法

针对整个飞行包线内涡轴发动机健康参数估计问题,提出基于高斯加权聚类的机载自适应混合模型建立方法.机载自适应混合模型由卡尔曼滤波器和神经网络组成,由于飞行数据样本庞大,采用高斯加权模型对涡轴发动机飞行数据进行实时聚类,利用聚类数据更新神经网络权重,并实现自适应混合模型工作范围的自动扩展.仿真结果表明了该方法的有效性,采用...     

一种基于ADS-B的降低飞机座舱交通信息显示混乱新方法

提出了一种基于ADS-B的降低飞机座舱交通信息显示混乱新方法。基于ADS-B提供的信息,当飞机座舱显示器接收处理的飞机数据个数多于能够有效显示的飞机个数时,通过计算其它飞机与本机之间航向、距离、高度等参数,过滤与本机关联度较低的部分飞机数据,而不影响系统功能正常实现,从而简化显示界面。该方法被应用于中国民航飞行学院的飞...     

Combination methods of tropospheric time series

In this article we present two methods for combination of different Global Navigation Satellite Systems (GNSS) Zenith Total Delay (ZTD) time-series for the same GNSS site, but from different producers or different processing setups. One method has been setup at ASI/CGS, the other at KNMI. Using Near Real-Time (NRT) ZTD data covering 1 year from the E-GVAP project, the performance of the two methods is inter-compared and validation is made against a combined ZTD solution from EUREF, based on post-processed ZTDs. Further, validation of the ASI combined solutions is made against independent ZTDs derived from radiosonde, Numerical Weather Prediction (NWP) model and Very Long Baseline Interferometry (VLBI) ZTD.     

基于自抗扰控制的导弹三维制导规律

针对导弹制导系统中存在模型不确定性和外部扰动的特点,提出了利用自抗扰控制器设计导弹三维制导规律的新方法.在建立导弹三维制导模型的基础上,把系统非线性部分、回路间耦合项以及目标机动加速度视为对制导系统的未知总扰动,从而将模型变换为适于自抗扰控制的仿射系统.通过为俯仰和偏航回路分别引入自抗扰控制器,实现了双回路的动态解耦,...     

基片集成波导滤波器设计与分析

文章应用基模和高次模设计了Ku频段的4阶椭圆函数响应滤波器,并对其仿真和实测结果进行了详细的分析;针对频偏和寄生耦合进行了仿真和结构调整,取得了性能优良的滤波器响应。     

一种顾及厄特沃思效应的水下重力辅助导航方法

水下相对于水面环境,准确估计厄特沃思效应更为困难,进而影响重力测量精度。由于传统重力匹配算法未考虑水下厄特沃思估计误差对重力辅助导航定位性能的影响,根据不同导航参数对厄特沃思估计误差的影响程度,构建了水下惯导系统/计程仪/重力仪组合导航框架,采用UKF非线性滤波算法,分析了不同导航模式下厄特沃思估计误差特性,并评估了有无厄特沃思估计误差时重力辅助导航性能的差异。半物理仿真结果表明采用DVL的辅助导航方式可有效抑制惯导误差积累,INS/DVL/Gravimeter三者信息融合导航模式定位性能得到了进一步提高,即使在考虑厄特沃思估计误差的情况下,与仅采用DVL作为辅助信息源相比,水平径向误差定位精度依然提升了17.02%。     

一种惯组外场标定振动干扰的分离方法

惯组在外场进行标定时常会受到地基振动的干扰,这种干扰会对惯组的测试精度造成极大的影响.为解决这一问题,根据工程实际需要,提出了一种基于经验模态分解和数字信号滤波技术相结合的惯组输出振动干扰分离方法.首先利用经验模态分解将受振动干扰的惯组输出分解成若干本征模态分量,然后采用低通滤波器对高频分量进行滤波,对低频分量相应区段做幅值修正,最后将处理过的各分量叠加,即重构出消除振动干扰的信号.相对于传统的剔除野值后的平滑滤波方法,新方法保证了数据信息的完整性,有效降低了振动干扰的不利影响,提高数据信息的可靠性和真实性.仿真实验和工程实践表明,该方法对外场的瞬时振动干扰有较强地分离能力.