Edge diffraction correction for 3D scattering center modeling based on the shooting and bouncing ray technique

In the traditional scattering center extraction method based on the shooting and bouncing ray(SBR) technique,only the physical optics contribution of the target is considered.However,the physical optics method is unable to describe the contribution of the actual edge diffraction.By comprehensively considering the specular reflection and edge diffraction contribution of the target,an edge diffraction correction method for 3D scattering center modeling based on the SBR technique is proposed.Using the SBR technique and combining the image domain ray tube integration and equivalent edge currents method,the edge diffraction correcting formula for the 3D inverse synthetic aperture radar image is derived.Simulation results show that the proposed method is able to effectively improve the modeling accuracy of the 3D scattering center.     

Method for discrimination of false targets in multistation radar systems based on the deep neural network

For the existing jamming discrimination methods for multistation radar systems,only the single feature of target echo space correlation is utilized as the metric,which leads to insufficient comprehensiveness of feature extraction,so that effectiveness and universality are insufficient for the discrimination algorithm.In this paper,an identification method in multistatic radar systems based on the deep neural network is proposed.This method combines the characteristics of multistatic radar systems cooperative detection technology,which has many available resources and strong scheduling ability in space,time and frequency domain,with the strong model learning and feature representation ability in the process of information processing on the deep neural network,so that it can effectively apply to the field of anti-deception jamming.Full use is made of unknown information about echo data to obtain more multi-dimensional,more comprehensive,more complete and deeper feature differences besides correlation,so as to achieve a better jamming discrimination effect.Simulation results show that the proposed method can effectively reduce the influence of noise and pulse number on the jamming discrimination performance.At the same time,the limitation of the target echo correlation coefficient on anti-jamming technology under nonideal conditions is alleviated,which broadens the boundary conditions of the application process.     

A Brief Introduction on Joint Radar and Communication Systems

Joint radar and communication(JRC) technology is gradually becoming an essential approach to alleviating spectral congestion. Radar and communications systems were designed with common spectral and hardware resources to reduce size, improve performance, reduce cost, and decongest the spectrum. Various approaches have been proposed to achieve the coexistence of radar and communication systems. This paper mainly focuses on the research directions of radar communication coexistence(RCC) and dual-function radar communication systems(DFRC) in JRC technology. We summarize and analyze the existing research problems in the JRC era. According to the characteristics and advantages of JRC technology, we highlight several potentials in military and commercial applications.     

基于多学习单元卷积神经网络的雷达辐射源信号识别

现有基于人工提取特征的复杂体制雷达辐射源信号识别方法时效性低,识别准确率不佳. 为此,提出了一种基于多学习单元卷积神经网络的识别方法. 首先对辐射源信号的模糊函数进行高斯平滑,以校正噪声带来的毛刺与畸变;然后提取其正交切片作为进一步的特征提取对象;最后构建多学习单元卷积神经网络,学习和提取正交切片深层、泛在的特征,并通过softmax分类器进行分类识别. 仿真实验结果表明,所提方法在信噪比为-2 dB时对6类典型雷达信号的整体平均识别率均保持在99.86%以上,即便是在-6 dB环境中,雷达信号的识别率也可达到88.50%,在极低信噪比条件下具有良好的性能和可行性.     

水工混凝土构件裂缝检测方法及应用

水利工程在长期运行过程中,其混凝土构件会出现磨蚀、裂缝等损伤,如这类问题不能够及时得到处理,将会严重影响水利工程的安全运行。本次研究主要针对水工混凝土构件中的裂缝检测方法进行研究,提出从“定性”到“定量”的一体化检测思路,具体实施过程分为四部分,即“普探—详查—判定—验证”,其中,普探阶段采用探地雷达法,确定裂缝的总体分布;详查阶段采用超声横波反射三维成像的方法,确定裂缝的纵深向分布;判定阶段分别采用裂缝测宽法和表面声波法,用来确定裂缝的表面宽度和贯穿深度;验证采用钻孔电视,确定探测结果的正确性和准确性。上述技术路线突破了单一方法的限制,可有效地运用于水工混凝土构件裂缝检测,经实践证实,具有良好的检测效果。     

快速三维扫描激光雷达的设计及其系统标定

为了增强传统二维激光雷达的环境几何信息采集能力,设计了一个快速三维扫描激光雷达系统.采用了一个单片机控制的步进电机旋转二维激光雷达的扫描平面,得到第三维扫描.研制了高速数据通讯卡,实现激光雷达与数据采集计算机之间的实时传输.在整个扫描过程中,各个时刻的二维距离测量数据和相应的俯仰扫描角被同时记录下来,形成一帧完整的三维距离图像.在分析系统误差源基础上,对初始姿态误差和系统偏心误差建立了数学模型,并采用最小二乘法作了系统标定.实验结果表明,该雷达系统精度高,在量程范围内距离误差小于±30 mm,扫描速度可达1.2 s/帧数据.     

Estimating discharge in gravel‐bed river using non‐contact ground‐penetrating and surface‐velocity radars

Discharge measurement is a critical task for gravel‐bed channels. Under high‐flow conditions, the elevation of the riverbed changes significantly by intensive torrential flow. The stage–discharge relations commonly used for stream discharge estimation may no longer be adequate. The contact‐type velocity measuring is also subject to measurement errors and/or instrument failures by the high‐flow velocities, driftwood, stumps, and debris. This study developed a new real‐time method to estimate river discharge in gravel‐bed channels. A systematic measuring technology combining ground‐penetrating radar and surface‐velocity radar was employed. The rating curves representing the relations of water surface velocity to the channel cross‐sectional mean velocity and flow area were established. Stream discharge was then deduced from the resulting mean velocity and flow area. The proposed method was examined in a steep gravel‐bed reach of the Cho‐Shui River in central Taiwan. The estimated stream discharge during three flood events were compared to the prediction by using the stage–discharge relation and the index‐velocity method. The proposed method of this study is capable of computing reasonable values of discharge for an entire flood hydrograph, whereas the other two methods tend to produce large extrapolation errors. Moreover, when the computed discharge is used in 2D flood flow simulation, the proposed method demonstrates better performance than the commonly used stage–discharge and index‐velocity methods.     

相控阵雷达天线阵面记录回放系统

相控阵雷达广泛应用,其天线阵面对记录回放系统的数据速率要求提升。针对两种传统记录回放系统架构的不足,结合其优点,设计并实现了一种新型的基于FPGA的记录回放系统。该系统设计为板卡的形式,FPGA实现对硬盘的读写操作,采用自定义的文件系统对数据进行管理。经过测试,系统记录速度可以达到292 MB/s,回放速率为340 MB/s。实验结果表明,该记录回放系统性能稳定,通用性好,存储速率满足要求。     

基于局部重要性采样的SAR图像纹理特征提取方法

合成孔径雷达（Synthetic aperture radar,SAR）图像因为相干斑现象和目标响应的空间变化呈现出一种纹理特性,局部二进编码等局部图像特征 在光学纹理描述中获得较好的结果,但光学纹理特征在描述SAR图像纹理特性中因为相干成像特性往往失效. 本文 在前期工作纹理特征框架的基础上,提出了一种局部重要性采样二进编码的SAR图像纹理特征（Feature extraction based on local important sampling binary,LISBF）描述方法:首先,利用样本图像对局部采样位 置进行随机自适应采样,基于重要性采样（Important sample,IS）方法输出递归学习位置结果;然后,利用学习出的纹理重要采样点对进 行二进特征编码;最后,通过映射和统计生成描述算子. 该特征较固定位置采样能够获取更大范围信息,同时能通 过采样避免特征维数的急剧增大;通过自适应学习重要性关键点较随机采样 更容易捕捉纹理固有信息;较好地适应了SAR图像极低信噪比和斑点现象的纹理. 本文将该特征用于真实图像和标准纹理库的分类研究,实验结果证明了该特征的有效性.     

复杂体制雷达辐射源信号特征的集对分析

为解决复杂体制雷达辐射源信号特征的评价问题,提出了基于集对分析理论的复杂体制雷达辐射源信号特征分析模型.首先对复杂体制雷达辐射源信号特征评价指标体系的指标权重作层次分析,再通过集对分析理论对复杂体制雷达辐射源信号特征评估的决策矩阵进行同一度分析,最后联合指标权重矩阵和决策同一度矩阵对复杂体制雷达辐射源信号特征进行综合评判.仿真结果表明,该模型是有效、可行的,能够更好地实现对复杂体制雷达辐射源信号特征的分析和评估.