纳米光催化技术在客机座舱空气质量控制中的应用

纳米光催化技术是一种新型的空气净化技术,近年来已成为空气净化领域的研究热点之一。本文简要介绍了纳米光催化技术的发展历史、净化机理以及国内外的研究进展;分析了实际应用中存在的问题;并指出了纳米光催化技术在客机座舱空气质量控制中的应用前景。     

固-液相变装置传热性能数值计算研究

卫星内安装的某些设备在轨长期工作时要求维持较恒定的温度,特别是热容较小的设备受外热流影响温度波动会比较大,文章在传统热控设计的基础上增加了相变装置,利用焓法建立了设备、蜂窝板、相变装置统一的控制方程,研究了空间环境下相变装置的热性能。结果表明:采用相变装置有助于提高散热面的等温性,同时能够有效降低设备的温度波动范围,为航天器内设备的热控设计提供了一定依据。     

基于神经网络的时频域雷达信号调制参数估计

针对常规时频分析方法对多分量雷达信号分析的不足,提出一种基于神经网络的时频域多分量雷达信号调制参数估计新方法.把多分量雷达信号的时频分布作为灰度图像,通过神经网络训练得到高分辨率时频平面图,然后在时频域实现雷达信号各分量的调制参数估计,相对于时频重排等方法,其对时频分布的处理不需要关于各分量信号的先验知识.仿真实验表明,该方法在得到比时频重排方法更高分辨率时频图的基础上,能够较准确地估计各分量雷达信号调制参数.     

机载分布式系统的透明性设计

在分析国外分布式系统和ASAAC标准的基础上指出,分布式系统的透明性主要体现在8个方面,即访问透明、位置透明、并发透明、备份透明、故障透明、迁移透明、性能透明和扩充透明,并对实现这8种透明性所采用的理论和技术进行了阐述,目的在于把握分布式系统的设计方向和获取一些设计经验.     

Pre-correction X-ray pulsar navigation algorithm based on asynchronous overlapping observation method

In order to shorten the data update period and further improve the accuracy, a pre-correction X-ray pulsar navigation algorithm based on asynchronous overlapping observation method is proposed. The asynchronous overlapping observation method partially overlaps the two adjacent observation periods, so that the data update period depends on the minimum pulsar observation period rather than the maximum like the other algorithms. The number of sampling points is also reduced to 2, which will effectively reduce the calculation burden. The proposed pre-correction extended Kalman filter uses observation data of adjacent sampling points to achieve a two-fold correction and makes up for the problem of insufficient observations on some sampling points caused by the observation method. Finally, simulations show that the proposed algorithm reduces the position and velocity errors by 21.55% and 19.13% compared to the EKF based on asynchronous observation method when using three detectors to observe the corresponding pulsars simultaneously. At the same time, the running time of one data update calculation is only 6.6% more than that of the EKF algorithm based on synchronous observation method.     

具有SGCMG系统的挠性卫星姿态机动控制及验证

针对挠性卫星在轨姿态快速机动的需求，开展了星体姿态机动控制方法及控制实现研究。基于建立的挠性卫星姿态跟踪控制误差方程，给出了PD控制与补偿控制相结合的姿态跟踪控制器形式；考虑系统实现的时延影响，利用经典频率分析方法选择了兼顾系统稳定性及宽带控制的控制参数；在控制具体实现中，采用一种新型的基于力矩矢量调节奇异规避操纵策略，克服常规鲁棒奇异规避操纵存在的框架“锁死”现象，在解决奇异规避的同时避免激发挠性振动。所提出方法的有效性通过了在轨验证。     

基于光纤传感技术的着靶点测量系统设计

为检验武器系统的制导精度,必须对制导武器命中靶标的相对位置即脱靶量进行测量。针对靶船着靶点测量的需求,提出基于光纤传感技术的测量方案。在分析光纤传感器测量原理的基础上,通过光纤传感器网格、光源发射装置、信息采集、数据接收处理等分系统的设计,实现对靶船着靶点的高精度实时测量。通过对系统工程实现及关键技术问题的研究,表明该系统的技术可行性和工程可实现性,并可推广应用于其它靶标系统。     

A MARS-based method for estimating regional 2-D ionospheric VTEC and receiver differential code bias

The geometry-free linear combination of dual-frequency GNSS reference station ground observations are currently used to build the Vertical Total Electron Content (VTEC) model of the ionosphere. As it is known, besides ionospheric delays, there are differential code bias (DCB) of satellite (SDCB) and receiver (RDCB) in the geometry-free observation equation. The SDCB can be obtained using the International GNSS Service (IGS) analysis centers, but the RDCB for regional and local network receivers are not provided. Therefore, estimating the RDCB and VTEC model accurately and simultaneously is a critical factor investigated by researchers. This study uses Multivariate Adaptive Regression Splines (MARS) to estimate the VTEC approximate model and then substitutes this model in the observation equation to form the normal equation. The least squares method is used to solve the RDCB and VTEC model together. The research findings show that this method has good modeling effectiveness and the estimated RDCB has good reliability. The estimated VTEC model applied to GPS single-frequency precise point positioning has better positioning accuracy in comparison to the IGS global ionosphere map (GIM).     

Three-Dimentional Surface Light Irradiance Reconstruction in Bioluminescence Tomography

Reconstruction of 3D surface irradiance distribution using multiple views captured by charged coupled device(CCD)camera is the basis of solving the light source in bioluminescence tomography(BLT).A simple and convenient mapping technique based on the pin-hole imaging model and Lambert′s cosine law was presented to establish the relationship between gray levels and irradiance intensities.Compared with previous integrating sphere camera calibration used in BLT,the proposed method can effectively avoid heavy burden of simulation experiment to obtain the corresponding relationship of gray levels and irradiance intensities.The accuracy and feasibility of the proposed method are validated with no more than 1mm location error by different types of phantom experiments.The mapping approach is also applicable to other noncontact optical imaging system.     

A prediction model of short-term ionospheric foF2 based on AdaBoost

In this paper, the AdaBoost-BP algorithm is used to construct a new model to predict the critical frequency of the ionospheric F2-layer (foF2) one hour ahead. Different indices were used to characterize ionospheric diurnal and seasonal variations and their dependence on solar and geomagnetic activity. These indices, together with the current observed foF2 value, were input into the prediction model and the foF2 value at one hour ahead was output. We analyzed twenty-two years’ foF2 data from nine ionosonde stations in the East-Asian sector in this work. The first eleven years’ data were used as a training dataset and the second eleven years’ data were used as a testing dataset. The results show that the performance of AdaBoost-BP is better than those of BP Neural Network (BPNN), Support Vector Regression (SVR) and the IRI model. For example, the AdaBoost-BP prediction absolute error of foF2 at Irkutsk station (a middle latitude station) is 0.32 MHz, which is better than 0.34 MHz from BPNN, 0.35 MHz from SVR and also significantly outperforms the IRI model whose absolute error is 0.64 MHz. Meanwhile, AdaBoost-BP prediction absolute error at Taipei station from the low latitude is 0.78 MHz, which is better than 0.81 MHz from BPNN, 0.81 MHz from SVR and 1.37 MHz from the IRI model. Finally, the variety characteristics of the AdaBoost-BP prediction error along with seasonal variation, solar activity and latitude variation were also discussed in the paper.