频率捷变雷达信号源实时校准技术研究

分析了原有频率捷变雷达信号源中频率校准方法存在的缺陷,在此基础上设计了实时校准的频率校准电路,提高了信号源的频率跟踪精度和稳定工作时间。     

新一代战斗机座舱盖关键技术与设计方案

座舱是战斗机三大电磁散射源之一，座舱盖雷达散射截面（RCS）的减缩技术是实现新一代战斗机全机雷达隐身性能的关键技术。基于新一代战斗机隐身外形平台，座舱盖在隐身技术、透明件结构、抗鸟撞、弹射救生、光学性能、结构变形控制等领域均面临新的挑战。本文以新一代战斗机为背景，研究了座舱盖性能提升的4项关键技术：座舱盖隐身性能提升技术、大型整体座舱盖透明件结构设计技术、复杂曲面座舱盖光学性能仿真优化技术、大尺寸活动部件变形及状态控制技术。经过上述关键技术研究，完成了新一代战斗机座舱盖设计技术体系的升级，促进了新一代战斗机座舱盖技术和性能的跨代提升。     

3D radar wavefield tomography of comet interiors

Answering fundamental questions about the origin and evolution of small planetary bodies hinges on our ability to image their surface and interior structure in detail and at high resolution. The interior structure is not easily accessible without systematic imaging using, e.g., radar transmission and reflection data from multiple viewpoints, as in medical tomography. Radar tomography can be performed using methodology adapted from terrestrial exploration seismology. Our feasibility study primarily focuses on full wavefield methods that facilitate high quality imaging of small body interiors. We consider the case of a monostatic system (co-located transmitters and receivers) operated in various frequency bands between 5 and 15?MHz, from a spacecraft in slow polar orbit around a spinning comet nucleus. Using realistic numerical experiments, we demonstrate that wavefield techniques can generate high resolution tomograms of comets nuclei with arbitrary shape and complex interior properties.     

A multilayer perceptron and multiclass support vector machine based high accuracy technique for daily rainfall estimation from MSG SEVIRI data

The current paper introduces a new multilayer perceptron (MLP) and support vector machine (SVM) based approach to improve daily rainfall estimation from the Meteosat Second Generation (MSG) data. In this study, the precipitation is first detected and classified into convective and stratiform rain by two MLP models, and then four multi-class SVM algorithms were used for daily rainfall estimation. Relevant spectral and textural input features of the developed algorithms were derived from the spectral MSG SEVIRI radiometer channels. The models were trained using radar rainfall data set colected over north Algeria. Validation of the proposed daily rainfall estimation technique was performed by rain gauge network data set recorded over north Algeria. Thus, several statistical scores were calculated, such as correlation coefficient (r), root mean square error (RMSE), mean error (Bias), and mean absolute error (MAE). The findings given by: (r = 0.97, bias = 0.31 mm, RMSE = 2.20 mm and MAE = 1.07 mm), showed a quite satisfactory relationship between the estimation and the respective observed daily precipitation. Moreover, the comparison of the results with those of two advanced techniques based on random forests (RF) and weighted ‘k’ nearest neighbor (WkNN) showed higher accuracy obtained by the proposed model.     

Improvements in bottomside electron density definition in the Autoscala program

Some improvements introduced in the Autoscala program are presented. They include improvements in E valley modeling of the electron density profile N_e(h), and in the link between the E valley and bottom-side F regions. An abrupt variation in N_e(h) generated by the previous version of Autoscala under night conditions has been eliminated.A series of ionograms recorded by the Millstone Hill digisonde (42.6°, 288.5°) were automatically interpreted by the previous version of Autoscala and by the new one. Data from Incoherent Scatter Radar (ISR) were used to comparatively assess the performance of the two versions. For this purpose, the root mean square errors (RMSEs) of the N_e(h) provided by Autoscala were calculated relative to the corresponding values provided by ISR.A more accurate overall modeling of N_e(h) was achieved by the new Autoscala version (RMSE = 0.51 MHz for the new version against RMSE = 0.67 MHz for the previous one).     

基于嵌入式仿真的雷达训练系统设计

介绍了嵌入式仿真技术及其发展,将嵌入式仿真与雷达模拟训练相结合,构成了能够嵌入到机械扫描雷达实装的模拟训练系统。描述了对嵌入式仿真训练系统的结构组成以及部分模块的功能,研究了模拟雷达视频回波数据的方法和模型,包括目标回波、地物杂波、海杂波、气象杂波、有源干扰和接收机内部噪声,利用数学模型计算回波的强度、方位、距离等特性,调制实际录取的回波数据,生成与态势设置参数相应的模拟回波数据,能够对信号处理操作和抗干扰操作做出响应。通过对视频回波进行仿真,由终端显示画面可知模拟的回波数据具有较高的逼真度,经测试模拟视频回波能够被雷达显控终端识别。     

基于梳状谱发生器的毫米波相参脉压模拟器

研制了一种基于梳状谱发生器的全相参脉冲压缩毫米波雷达目标射频回波模拟器。通过与被测雷达共用基准频率参考信号,结合梳状谱发生器及DDS,保证了输出信号和雷达发射信号的相参性和快速频率跳变,实现较好的相位噪声性能和杂散抑制。该系统输出为Ka波段,带宽2GHz,步进100kHz,相位噪声小于一80dBc@1kHz,跳频时间小于2μs。     

Robust adaptive filtering method for SINS/SAR integrated navigation system

This paper presents a new robust adaptive filtering method for SINS/SAR (Strap-down Inertial Navigation System/Synthetic Aperture Radar) integrated navigation system. This method adopts the principle of robust estimation to adaptive filtering of observational data. A robust adaptive filter is developed to adaptively determine the covariance matrix of observation noise, and adaptively adjust the covariance matrix of system state noise according to the adaptive factor constructed based on predicted residuals. Experimental results and comparison analysis demonstrate that the proposed method cannot only effectively resist disturbances due to system state noise and observation noise, but it can also achieve higher accuracy than the adaptive Kalman filtering method.     

一种自适应各向异性的SAR图像去噪算法

为了在抑制噪声时尽可能保留图像边缘信息,提出一种自适应各向异性SAR图像去噪算法。该方法设计一组具有不同尺度和方向的滤波器模板,针对不同图像边缘的局部特征计算出滤波器的尺度和方向,选择最优匹配的各向异性滤波器,从而可以在抑制噪声的同时很好地保留边缘。仿真实验表明,提出的自适应各向异性SAR图像去噪算法具有很强的噪声抑制和边缘保持能力,并且具有较高的实效性。     

以恒星位置为基准的运动平台上测控雷达精度标校技术

利用FK5星表，可以精确实时地计算出恒星位置，用作陆基雷达标校的基准。本文把这种技术推广到运动平台上雷达的精度标校，提出了技术方案和初步的数学模型，给出了试验的解算结果和统计结果。