EW射频隐身系统频率选择表面电磁散射参数的测量

频率选择表面(FSS)技术为电子战射频隐身提供了新的实现技术途径,散射参数的测量验证是射频隐身系统FSS设计的关键环节.针对非理想测量环境,以一种小型化带阻频率选择表面为例,提出了一套频率选择表面散射参数的测量和校准方法,有效消除了测量中信号的衰减、测量天线间的耦合以及信号多径传播等对真实结果造成的影响,使之尽可能接近在理想环境中的测试结果.该方法极大改善了周期性人工电磁结构散射参数测量对环境的依赖,降低了射频隐身FSS设计的研发成本,在电子战领域具有良好的应用前景.     

我国航空情报服务向航空信息管理方向发展探索

AIM是近年来国际民航界提出的一个新的航空信息管理的概念,它包含一系列航空信息服务的理论、目标和方法。本文通过对AIM的核心内容、目标和技术实现进行分析,提出了我国航空情报的发展方向。     

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.     

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。     

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     

Kalman filtering for GPS/magnetometer integrated navigation system

This paper investigated the data processing method for a GPS/IMU/magnetometer integrated system with Kalman filtering (KF). As a result of GPS/IMU/magnetometer land vehicle system, dead-reckoning of magnetometer and accelerometer integrated subsystem bridged very well the GPS signal outage due to the trees on the two sides of the road. Both differential GPS data processing method and the carrier-phase method with magnetometers’ outputs for predicting the car position, velocity, and acceleration (PVA) are presented. The results from DGPS with Kinematical Positioning (KINPOS) software shown that the averages of the north, east, and down direction standard deviation (short for “std”) are 0.014, 0.010, and 0.018 m, respectively. The std of velocities and accelerations derived by the position and velocity differentiation are 10, 7, 13 mm/s, 7, 5, 9 mm/s², respectively. This method for getting velocities and accelerations requires higher accurate position coordinates. But the position accuracy has frequently been degraded in this case when the car drove under the trees or other similar kinematical environments. That caused the larger velocity and acceleration errors. While the results from the carrier-phase method are std of the velocities = 2.1 mm/s, 1.3 mm/s, 3.7 mm/s in north, east, down, and std of the accelerations = 1.5 mm/s², 0.9 mm/s², 2.3 mm/s² for the static test period; as compared with KINPOS software results, std of the velocity difference between the carrier-phase method and the DGPS method = 7 mm/s, 6.9 mm/s, 9.7 mm/s in north, east, down direction, and std of acceleration difference = 5.0 mm/s², 4.5 mm/s², 7.5 mm/s² in north, east, down direction for the kinematical test period. Obviously, errors come from both the carrier-phase method and DGPS velocity and acceleration results derived directly by the position differentiation. In addition, better accuracy of positions than that before KF has been got by means of velocities and accelerations derived by the carrier-phase method after KF.