A Test Method for the Static/Moving State of Targets Applied to Airport Surface Surveillance MLAT System

Due to the particularity of its location algorithm,there are some unique difficulties and features regarding the test of target motion states of multilateration(MLAT)system for airport surface surveillance.This paper proposed a test method applicable for the airport surface surveillance MLAT system,which can effectively determine whether the target is static or moving at a certain speed.Via a normalized test statistic designed in the sliding data window,the proposed method not only eliminates the impact of geometry Dilution of precision(GDOP)effectively,but also transforms the test of different motion states into the test of different probability density functions.Meanwhile,by adjusting the size of the sliding window,it can fulfill different test performance requirements.The method was developed through strict theoretical extrapolation and performance analysis,and simulations results verified its correctness and effectiveness.     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

航空装备综合诊断的现状与发展设想

综合诊断是伴随着装备的发展和对装备保障能力的要求不断提高而产生和发展的,为此将国外航空装备综合诊断技术的发展历程以及各综合诊断系统的具体组成进行了对比,阐述了当前我国航空装备故障诊断的情况,分析了综合诊断的支撑技术和发展趋势,提出在我国航空装备的维修保障中实施综合诊断的必要性,并对我国建立面向多机型、多专业、以网络为中...     

A new inversion method of plasma density distribution of plasmasphere in the geomagnetic equatorial plane from IMAGE data

The plasma density distribution of plasmasphere in the geomagnetic equatorial plane can help us study the magnetosphere like plasmasphere, ionosphere and their kinetics. In this paper, we introduce a new inversion method, GE-ART, to calculate the plasma density distribution in the geomagnetic equatorial plane from the Extreme Ultraviolet (EUV) data of IMAGE satellite under the assumption that the plasma density is constant along each geomagnetic field line. The new GE-ART algorithm was derived from the traditional Algebraic Reconstruction Techniques (ART) in Computed Tomography (CT) which was different from the several existing methods. In this new method, each value of the EUV image data was back-projected evenly to the geomagnetic field lines intersected by this EUV sight. A 3-D inversion matrix was produced by the contributions of all the voxels contained in the plasmasphere covered by the EUV sensor. That is, we considered that each value of the EUV image data was relative to the plasma densities of all the voxels passed through by the corresponding EUV radiation, which is the biggest difference to all the existing inversion methods. Finally, the GE-ART algorithm was evaluated by the real EUV data from the IMAGE satellite.     

用模糊集方法实现管理系统仿真输入非参数化的研究

以模糊信息优化处理的观点，研究了信息扩散方式实现非参数输入的途径、方法和效果、本文用正态扩散方式处理知识样本，形成参数概率颁上模式，通过ＳＩＭＡＮ仿真语言，对某一高速公路的一部分收费系统进行了仿真研究，结果表明：当人们对系统掌握的资料不多时，新方法有较大的优越性；如有较多的资料，新方法的结果与传统方法一致。     

变批次长度的非线性分布参数系统迭代学习控制

针对一类离散的非线性分布参数系统,提出了一种批次长度随机变化的迭代学习控制问题.该类系统由抛物型偏微分方程构成.该方法采用伯努利型随机变量来描述迭代长度随机变化的情况,并根据分布参数系统的性质以及P型分布更新控制算法设计了迭代学习控制器.基于压缩映射原理,给出了系统输出误差收敛的充分必要条件并加以证明.结果表明,所提出...     

汽车消声器筒体与制造设备

介绍了单层纵缝焊接简体、单层纵缝咬边简体和缠绕式点焊筒体等3种类型的汽车消声器筒体及其制造设备的原理、结构、性能与特点．     

支承座三工序复合冲压模具

介绍一种新型支承座三工步复合冲压模具的结构、工作原理、主要工作部件的设计技术和参数计算。使用此种模具，可以在一个工步中完成支承座毛坯的落料、冲孔和弯曲成形，生产效率高，工艺质量好。     

角分辨紫外光电子谱仪校正因子的测量和计算

测量并分析计算了角分辨紫外光电子谱仪的电子能量分析器的聚焦特性 ,分析计算了紫外光斜入射时光电信号的校正因子。结果表明 :偏离分析器聚焦中心 β角的光电子被分析器接收的几率为高斯函数exp( - β2 /β0 2 ) ,且 β0 =3.5° ;斜入射光电信号的校正因子是光入射角α的函数且大于cosα     

旋转CVI制备陶瓷基复合材料碳界面层

用旋转ＣＶＩ工艺，通过优化工艺参数，在低压（５ｋＰａ）、高温（１１００℃）、高Ｃ３Ｈ６ 浓度（６２．５ｖｏｌ％ ）以及３．５ｍ ｍ ·ｍ ｉｎ－ １ 碳布旋转线速度条件下，在二维碳布上快速制备了厚度均匀（０．２５μｍ ）、表面规整的致密热解碳界面层。实验结果表明：沉积温度对界面层表面状况有较大的影响；采用减压法与优化沉积炉结构与几何尺寸，能有效防止高温高Ｃ３Ｈ６ 浓度下炭黑的形成。