基于FPGA的雷达信号模拟、采集与处理系统

介绍了基于FPGA设计并实现了一种雷达信号模拟、采集与处理的系统。系统主要由计算机和带有双路高速A/D和双路高速D/A的信号处理卡组成。信号处理卡以FPGA为核心控制与处理芯片,主要完成雷达信号模拟、雷达信号处理和雷达信号采集等功能,与计算机通讯使用USB2.0接口,采用数据抽取、坐标查表映射和DirectDraw等技术在计算机显示器上以P显和A显方式进行实时显示。该系统提供在线配置功能,用户可通过USB接口对FPGA程序进行配置或升级,无须专用配置芯片,简化了电路板设计,提高了系统的灵活性。     

Mapping lightning channels in a thunderstorm by radar

The state of Georgia has experienced a number of tornados that occur without warning, and, in several cases have caused fatalities. Researchers at the Severe Storms Research Center (SSRC) of the Georgia Tech Research Institute (GTRI), Georgia Institute of Technology are attempting to detect tornado formation within severe thunderstorms occurring in the vicinity of Atlanta, Georgia, using non-radar sensors that may provide early tornado warning and provide cueing to existing National Weather Service (NWS) radars. The goal of these studies is to increase the warning time of tornado formation within the parent thunderstorm. GTRI researchers use real-time S-band Doppler weather radar data from three National Weather Service WSR-88D NEXRAD radars to complement the development of the non-radar tornado sensors. Three NWS Doppler radars provide severe weather surveillance coverage of the north Georgia area to determine if a thunderstorm contains the Doppler signature that indicates tornado formation. The radar data, displayed on a work station developed and optimized for tornado detection by the National Severe Storms Laboratory (NSSL), serves as ground truth data for the non-radar sensor development. GTRI can display cloud to ground (CG) lightning strikes, a capability provided by overlaying data from a national monitoring network onto the radar reflectivity map. GTRI also uses a local lightning direction finder (DF) system that supplies azimuth and range to the lightning strike. This paper discusses the early lightning channel research and the passive parasitic radar system being operated by the SSRC.     

基于PCI总线接口的SD主控制器的设计与实现

SD卡已在消费型电子产品中得到了广泛应用,在显示控制系统中如何实现对SD卡的支持也变得很重要,而目前在机载计算机中占主流的PowerPC微处理中没有集成SD主控制器,因此研究和实现在PowerPC模块中对SD卡的读写访问就显得很有意义。在分析SD主控制器规范的基础上,采用功能模块化的方法,设计和实现了基于PCI总线接口,支持DMA传输的SD主控制器。测试结果表明,该SD主控制器数据传输稳定,并且具有硬件逻辑方便移植、重构的特点,可应用于PCI总线接口的嵌入式系统中。     

Maritime border control multisensor system

This focuses on the classification task performed into a multi-sensor system for the coastal surveillance. The system is composed of two platforms of sensors: a land-based platform equipped with a land based radar, an Automatic Identification System (AIS) and an infrared camera (IR); an airborne platform carrying an airborne radar that can operate in a spotlight Synthetic Aperture Radar (SAR) mode, a video camera, and a second IR camera. The tasks performed by the system are the detection, tracking, identification, and classification of multiple targets, the evaluation of their threat level, and the selection of an intervention on them. The classification algorithm implemented inside the system exploits an analytical approach based on the confusion matrix (CM) of the imaging sensors that belong to the system. Some measures of effectiveness (MoE) of the system are evaluated, considering both cases where an ideal error-free classification process and a non-ideal classification process are performed.     

多输入多输出电磁矢量阵列雷达的DOD和DOA联合估计

研究一种基于电磁矢量传感器阵列的多输入多输出(MIMO)雷达目标波离角(DOD)和波达角(DOA)的联合估计算法.提出了一种新型MIMO雷达系统,发射阵列采用常规阵元,而接收阵列采用电磁矢量传感器,在此基础上,算法首先利用矢量传感器的内在结构特点结合子空间旋转不变性质获得目标DOA预估计,随后采用最佳加权子空间拟合算法...     

无人机地面站图像压缩传输系统设计与应用

针对无人机地面指挥控制系统要实现互连、互通、互操作的网络化要求,设计了视频信号实时网络传输和显示系统。系统由基于DSP的服务器端和通用客户端播放器组成,服务器端通过设置并行任务完成视频信号的实时采集、编码和发送,客户端完成视频信号的实时接收、解码和播放,从而使系统实现了图像信息在地面站所有显示终端上的实时显示。实验结果表明,系统完全满足无人机地面站系统功能及指标要求,并且通过网络化技术节省了地面站宝贵空间资源,系统设计方法对同类型系统具有一定借鉴意义。     

KUPS: Knowledge-Based Ubiquitous and Persistent Sensor Networks for Threat Assessment

We propose a knowledge-based ubiquitous and persistent sensor network (KUPS) for threat assessment, in which "sensor" is a broad characterization. It refers to diverse data or information from ubiquitous and persistent sensor sources such as organic sensors and human intelligence sensors. Our KUPS for threat assessment consists of two major steps: situation awareness using fuzzy logic systems (FLSs) and threat parameter estimation using radar sensor networks (RSNs). Our FLSs combine the linguistic knowledge from different intelligent sensors, and our proposed maximum-likelihood (ML) estimation algorithm performs target radar cross section (RCS) parameter estimation. We also show that our ML estimator is unbiased and the variance of parameter estimation matches the Cramer-Rao lower bound (CRLB) if the radar pulses follow the Swerling II model. Simulations further validate our theoretical results.     

单片机的多机控制在装置艺术中的应用

介绍单片机的多机通信技术在控制步进电机中的应用.该系统以AT89C51单片机作为主机、以ATB9C2051单片机作为从机组成主从网络控制器.实现多台步进电机的起停、转向、调速、位置变化的控制.     

贵宾登机提示系统的设计与实现

目前,机场贵宾室以广播通知旅客登机的方式极大破坏了贵宾休息室尊贵祥和的氛围,为此设计并实现了贵宾登机提示系统。分析了贵宾休息室接待流程,找到问题关键所在,并通过技术手段改进旅客登机通知方式;提出电子登机提示牌的设计方案,并给出了相关硬件、监控软件的实现。本方案主要使用无线电子登机提示牌作为终端设备,工作站随时从服务器获取登机提示信息并通过无线发射机发送到电子登机提示牌,电子牌以光、声、震动方式通知高端旅客。此外,给出以声磁标签技术为手段的电子牌范围检测,以及电子牌充电柜等一系列实用设计;该系统对传统流程进行了改进,通过电子登机提示牌的光、声、震动的登机提示方式,实现了通知旅客登机又不影响其他贵宾休息的目的。     

Centralized and distributed multisensor integration withuncertainties in communication networks

Algorithms in which each sensor is represented in a local coordinate system and the communication networks between sensors have uncertainties are considered. The algorithms are general and can be applied to various integration tasks. The effects of the communication network uncertainties are minimized in the local estimation and central fusion processes. In the centralized multisensor integration, the local measurements and local measurement models are transferred to the central coordinate system and the optimal integration is obtained at the central process. In contrast, the local measurements, together with the previous central estimate transmitted from the communication network, are locally processed in the distributed multisensor integration algorithm. Because the distributed algorithm uses the communication networks twice, more errors are introduced, so that when the uncertainties are large, the centralized algorithm is preferred. Although the algorithms are developed in the three-dimensional coordinate system, with straightforward extension they can be applied to N-dimensional coordinate systems     

Electrical power distribution on space based radar satellites

The radar payload on a space-based radar (SBR) satellite could require tens of kilowatts of power distributed to many small loads over a large area. This poses special problems for the power distribution and control system (PDCS). A study that examined the power requirements of an SBR spacecraft is reported. A baseline prime power system, generating about 30 kW, was derived. The proposed distribution network would transmit 240 V at 20 kHz. The voltage would be downconverted in one converter for about 100 transmit/receive modules. The design considerations are discussed, and the baseline PDCS is described     

Achieving a hands-free computer interface using voice recognitionand speech synthesis [for Windows-based ATE]

Software designers at Hill Air Force Base have developed a voice recognition and speech synthesis system (Voice Control) for use with the F-16 Analog Test Station Sustainment (FATSS) project. The Voice Control system is reliable, speaker independent, and has a total added hardware price tag of under $50.00 per station. In contrast to traditional voice recognition systems, operator training is not required. OO-ALC has developed a general-purpose internal interface (Voice Control) to the Speech Recognition and Text-To-Speech engines provided by Microsoft. Voice Control can be accessed by any 32-bit Windows software, which has windows messaging capability. This is available to standard programming languages such as LabWindows CVI, Borland or Microsoft C/C++, Visual Basic, or even commercial packages such as Lotus Notes and Microsoft Word. Through Voice Control, the computer uses both video and voice prompts to request input from the operator. The operator is allowed to enter data and to control the software flow by voice command or from the keyboard or mouse. The Voice Control system allows for dynamic specification of a grammar set, or legal set of commands. The use of a reduced grammar set greatly increases recognition accuracy. The computer voice enables the operator to focus his attention away from the computer screen, which is required for activities such as probing a circuit card and taking readings. When the operator takes readings, the computer, to insure reliable entry, echoes his voice entries. With electronic tuning, speech synthesis allows the operator to hear the resulting reading, enabling him to focus on the circuit card instead of constantly turning his head to see the computer screen. This paper describes the capability and functionality of the Voice Control system     

基于LabVIEW的超精密磨床嵌入式监控系统

针对超精密磨削机床的监控需求,基于NI–sbRIO硬件平台开发了一套应用于超精密磨床状态监测和数据采集的嵌入式监控系统,使用FPGA对温度、振动、声发射等信息进行实时数据采集,并使用实时处理器对数据进行分析和处理,实现对机床的实时状态监测和数据存储。通过FPGA编程取代硬件数据采集卡,成本低,灵活性强。试验表明,该系统能够胜任超精密磨床的监控任务。     

Inherent bias assessment in height computation employing mixed-typeradar data

The objective here is the analysis of a systematic error inherently existing in aircraft geometric height monitoring under radar surveillance. This error is caused by the nonlinear processing of noisy measurements. The geometric height system under investigation uses mixed-type radar data, since the height is computed by referring range raw measurements to horizontal trajectory smoothed data     

靶场试验实况信息监测及质量检测分析

为解决试验测控实况信息的可视化作用与全链路实况信息缺乏质量监测功能的矛盾日益突出的问题,就实况信息监测及质量检测分析开展研究。具体采用模块化的监测和质量分析方法,针对整个实况信息运行系统中的有效节点展开监测,主要帮助系统判定视音频流、IP码流的信息故障点,实时分析流信息指标,诊断网络实况信息的传输质量,通过对原始视频图像文件压缩前后逐帧度量及损伤映射分析,检测图像信号模糊不清,拖尾或边缘锐化等问题,为快速排查和判断实况信号故障信息提供了验证结果。最终,为实况信息的高质量运行提供监测手段和检测依据。     

Detection of small objects in clutter using a GA-RBF neural network

Detection of small objects in a radar or satellite image is an important problem with many applications. Due to a recent discovery that sea clutter, the electromagnetic wave backscatter from a sea surface, is chaotic rather than purely random, computational intelligence techniques such as neural networks have been applied to reconstruct the chaotic dynamic of sea clutter. The reconstructed sea clutter dynamical system which usually takes the form of a nonlinear predictor does not only provide a model of the sea scattering phenomenon, but it can also be used to detect the existence of small targets such as fishing boats and small fragments of icebergs by observing abrupt changes in the prediction error. We applied a genetic algorithm (GA) to obtain an optimal reconstruction of sea clutter dynamic based on a radial basis function (RBF) neural network. This GA-RBF uses a hybrid approach that employes a GA to search for the optimum values of the following RBF parameters: centers, variance, and number of hidden nodes, and uses the least square method to determine the weights. It is shown here that if the functional form of an unknown nonlinear dynamical system can be represented exactly using an RBF net (i.e., no approximation error), this GA-RBF approach can reconstruct the exact dynamic from its time series measurements. In addition to the improved accuracy in modeling sea clutter dynamic, the GA-RBF is also shown to enhance the detectability of small objects embedded in the sea. Using real-life radar data that are collected in the east coast of Canada by two different radar systems: a ground-based radar and a satellite equipped with synthetic aperture radar (SAR), we show that the GA-RBF network is a reliable detector for small surface targets in various sea conditions and is practical for real-life search and rescue, navigation, and surveillance applications     

应用BP-ART混合神经网络的推进系统状态监控实时系统

应用ＢＰ－ＡＲＴ混合神经网络提出了一种供推进系统状态监控实时使用的系统,其拓扑结构为： 第一层处理单元由ＢＰ神经网络组成, 每个ＢＰ网络代表一个相应的推进系统组件; 第二层处理单元为一个ＡＲＴ神经网络, 网络的每一个输出代表推进系统的一种“健康状态”, 据此可对其故障进行“诊断”。该混合结构充分发挥了两类网络的优点, 给出的具体应用实例也显示出在推进系统实时状态监控与故障诊断应用中的有效性     

广义回归神经网络在冗余捷联惯导故障诊断中的应用研究

针对冗余捷联惯导的故障诊断问题，研究提出了一种基于广义回归神经网络的故障诊断方法。该方法在传感器输出数学模型未知的情况下，仅通过传感器之间的冗余关系，利用传感器正常工作时的测量值和改进的神经网络估计输出值生成残差进行故障诊断。仿真试验表明，利用神经网络补偿产生的残差可以检测到未补偿时的故障。该方法不仅可以检测到单故障，还对多传感器同时发生故障具有一定的检测能力。     

An approach to radiated testing of installed airborne Doppler radarwith weather/windshear detection capability

Numerous documents were reviewed to verify radar parameters needed to analyze and present the tester concept described herein. The weather and windshear models defined use the identical criteria established for the Doppler radar in terms of F-factor. The basic concept of the tester is to transmit coherent simulated radar returns in response to the airborne radar's transmission while mounted on a tripod in the far field of the radar when parked on the ramp. The varying amplitude of the received radar pulses are analyzed and put into memory as the tester antenna is illuminated by the scanning main beam and side lobes of the radar's antenna patterns. The tester controls the power of its outputted simulated radar returns in inverse relation to the power of the received radar pulses. These simulated radar returns, outputted into the main beam and/or side lobes of the scanning radar antenna, are interpreted by the radar system as received in the main lobe. The tester transmissions, incorporating microburst, storm and gust front models, previously defined, can thereby test the aircraft radar system performance in various hazard environments. The tester is designed to: verify operational performance of the radar; demonstrate installed radar performance; verify crew reports and minimize radar or LRU's removal for maintenance; test before and after a repair; and verify radome effects on radar performance     

雷达和红外成像双传感器信息融合目标识别研究

提出了一种利用目标的雷达和红外成像２种独立的传感器信息的互补性来构造特征向量的信息融合方法——联合向量空间法,并用对应的自适应信息融合系统进行目标识别。仿真证实比用单传感器的效果明显优越,从而说明了本文方法的有效性。