基于ARM Linux的嵌入式通信控制器设计

介绍了一种基于ARM微处理器和Linux操作系统的嵌入式通信控制器的设计,对于数据传输系统的应用背景给出了详细的软硬件设计方案。分析结果表明：该设计明显优于以往的通信控制器设计方案,满足了数据传输设备的组网要求。     

网络化制造中嵌入式Linux操作系统的开发

针对Linux与信息交互装置系统软件需求的差异,开发了用于网络化制造的嵌入式Linux操作系统.采用主机 目标系统的交叉开发模式,主机用PC RedHat7.0,目标系统用信息终端样机 HardHat Linux,编译器用MIPS交叉编译器.先配置内核、裁减标准C库、优化linux,用busybox裁剪Root文件系统, 设计图形用户界面.     

基于ARM的多传感器信息融合在工业控制中的应用

复杂工业控制系统的控制过程需同时涉及多个信息，信息融合技术可获得复杂工业生产过程的比较完整的描述，ARM具有信息处理能力强和高集成度的特点，二者的结合可实现对工业生产的高精度智能控制。该应用系统由SamsungS3C2410处理器，外部RAM、Flash、D／A转换芯片、LCD和RS232接口组成，采用嵌入式Linux操作系统移植，聚类融合子程序是整个系统的核心。     

CAN总线导弹测试网络中ARM节点设计

为了导弹测试设备的小型化、便携式，设计了基于CAN总线和ARM芯片的测试网络节点，文中对ARM芯片和CAN总线芯片的连接，嵌入式Linux操作系统配置和CAN总线驱动软件设计实现进行了详细介绍，经实际应用，表明这种方式达到了设计目的。     

基于嵌入式系统的Stewart平台伺服控制器设计

介绍了嵌入式系统、基于ARM7内核的S3C440B0X嵌入式做处理器．以及μC／OS实时操作系统(RTOS)。采用基于嵌入式系统的设计思想设计了Stewart平台伺服控制器，并将自抗扰控制算法ADRC用于Stewart平台的伺服电机控制中。通过对典型信号的跟踪结果表明系统设计具有一定的效能。     

嵌入式Linux在赤壁粮库监控系统中的应用

嵌入式Linux操作系统采用了MC68EZ328微控制器、FLASH、RAM、磁盘及以太网和CAN总线的接口电路、并/串口电路.可根据系统需要修改、裁剪、增加Linux内核源代码.建立Lin内核环境,修改启动代码、GUI函数封装和网卡驱动.然后转换启动画面格式,修改初始化进程,加入系统调用,调试键盘与LCD和CAN卡的驱动程序,实现数据转发.     

ARM Linux在AT91RM9200平台上的移植

ARM Linux在AT91RM9200平台上的移植,步骤包括下载安装内核源码、建立交叉编译环境及以压缩或非压缩方式配置和编译内核.其文件系统的建立及程序开发均在宿主机上完成,再通过串口、网口或者JTAG口烧写至目标板.     

在RtLinux下利用S函数开发驱动程序

在MATLABRTW中可以利用S函数开发应用于不同操作系统的驱动程序。MATLAB RTW可以在多种操作系统平台下应用，如Windows、Unix、及Linux等。但是，大部分厂家只提供了在Windows下的驱动程序，在实时或者半实时的应用中，为了在Linux平台下利用这些板卡（如数据采集卡等），就需要自己开发在Linux平台下的驱动程序。文章主要讨论在实时linux平台下，如何利用S函数来开发驱动程序。     

用推迟初始化的方法实现安全客体重用

信息泄露是军用操作系统的一大安全威胁。客体重用容易产生信息泄露，TCSEC中对此有明确的要求。Linux物理内存管理机制并不完全满足安全客体重用的要求。通过深入分析Linux 2．6内核源代码，发现要实现安全、高效客体重用，需要对Linux的内存管理系统进行修改，与其相关的模块主要有：内存映射模块、交换模块、核心内存管理模块。本文采用推迟初始化的方法，消除不安全的客体重用，确保内存页面再分配无信息泄露，并使整个系统的性能和效率基本不受影响。     

基于ARM7的瞄具操控台设计

针对该瞄具操控台采用CAN总线与瞄具系统中其他设备进行数据通讯,且通讯数据信息量大,实时性要求高的特点,在设计过程中采用了基于ARM7内核的32位LPC2119微控制器搭建的嵌入式系统.主要利用微控制器内建的CAN控制器以及LED数码管显示及键盘接口专用芯片BC7281,实现了CAN总线的通信和数据的显示及设定等人机数据交换功能.本系统硬件电路简单,可靠性高,便于维护.软件采用了实时操作系统作为开发平台,用多任务方式优化了系统应用软件,提高了系统的稳定性和实时性.     

Stability of the Third Generation Intensifier under Illumination

The stability under illumination of transmission-mode GaAs photocathode sealed in the third generation intensifier is investigated by use of spectral response testing instruments. The variations of spectral response with the illumination times under weak and intense illumination are compared. The variations of photoemission performance parameters are also characterized. The results show that during initial several weak illuminations photocathode behaves no evident decay and a maximum sensitivity is achieved, while under intense illumination the sensitivity of photocathode begin to decrease largely at the first illumination. The calculated performance parameters show that the variation of surface escape probability with illumination times is a direct cause of instability of photocathode. It is also found that under intense illumination peak wavelength is moved towards short-wave and peak response is decreased, which shows that the ability of long-wave response of photocathode is decreased.     

Passive Acoustic Radar for Detecting Supersonic Cruise Missile

A Passive Acoustic Radar is presented as a necessary complement to electromagnetic wave radar, which will be expected to be an effective means for detecting cruise missiles. Acoustic characteristics of supersonic flying projectiles with diverse shapes are expounded via experiment. It is pointed out that simulation experiment could be implemented using bullet or shell instead of cruise missile. Based on theoretical analysis and experiment, the ““acoustic fingerprint““ character of cruise missile is illustrated to identify it in a strong noise environment. After establishing a locating mathematical model, the technique of acoustic embattling is utilized to resolve a problem of confirming the time of early-warning, considering the fact that velocity of sound is much slower than that of light. Thereby, a whole system of passive acoustic radar for detecting supersonic cruise missile is formed.     

Design and Analysis of Test Schemes of Static Postponing Time on Shrapnels Used to Riot Control

The test scheme of static postponing time given in our actual national military test standard on shrapnels used to control riot is a nine-point test scheme on the combined action of three kinds of temperatures and three kinds of pressures,the consumed ammunitions are more excessive. Statistic analysis and tentative checkout about a lot of test data are done,feasibility gists are put forward for optimizing of the test design scheme. The optimizing design and data analysis of test scheme of the item are done by managing uniformity design theory, two scientific and reasonable six-point test schemes are confirmed. The feasibility and reliability of the optimizing design schemes put forward above are proved ulteriorly by test validating. The gained schemes not only have good design uniformity and little ammunition wastage and meet the test demand, but also have better forecast ability for the result data of other points using the mathematic models from the actual test points.     

Super-resolution Restoration of Remote-sensing Images

A novel image restoration scheme, which is super-resolution image restoration algorithm Poisson-maximum-afterword-probability based on Markvo constraint （MPMAP） combined with evaluating image detail parameter D, has been proposed. The advantage of super-resolution algorithm MPMAP incorporated with parameter D lies in the fact that superresolution algorithm MPMAP model is discrete, which is in accordance with remote-sensing imaging model, and the algorithm MPMAP is proved applicable to linear and non-linear imaging models with a unique solution when noise is not severe. According to simulation experiments for practical images, super-resolution algorithm MPMAP can retain image details better than most of traditional restoration methods; at the same time, the proposed parameter D can help to identify real point spread function （PSF） value of degradation process. Processing result of practical remote-sensing images by MPMAP combined with parameter D are given, it illustrates that MPMAP restoration scheme combined PSF estimation has a better restoration result than that of Photoshop processing, based on the same original images. It is proved that the proposed scheme is helpful to offset the lack of resolution of the original remote-sensing images and has its extensive application foreground.     

Design and Simulation of TF and TA Controller for Missile

A nonlinear terrain following(TF) and terrain avoidance(TA) controller is proposed for missile control systems. Based on classical TF algorithm (adaptive angle method), a new method for TF controller is proposed by using angle of attack. A method of obtaining terrain outline data from digital elevation map (DEM) for TF control is discussed in order to save store space. A TA algorithm is proposed by using bank-to-turn technique. The block control model, which is suitable for backstepping design, is given for nonlinear model of missile. Making full use of the characteristics of the system and combining block control principle and backstepping technique, a robust controller design method is proposed. Uncertainties in every sub-block are allowed, and can be canceled by using the idea of nonlinear damping. It is proved that the state tracking errors are converged to a neighborhood of the origin exponentially. Finally, nonlinear six-degree-of-freedom simulation results for the missile model are presented to demonstrate the effectiveness of the proposed control law.     

Design of Non-fragile Satisfactory Estimator for Linear Continuous Perturbed Stochastic Systems

The design problem of non-fragile estimator is addressed for a class of perturbed linear continuous systems. The perturbations occur on the plant and estimator parameters. The estimator designed should force the error system to achieve the desired decay rate and force the steady error variance less than the specified upper bound irrdevancy of the admissible plant perturbations and estimator perturbations. Consistency problem of the decay rate with the variance upper bound is first considered via linear matrix inequality （LMI） approach. The solution of the estimator parameter under specifications to be consistent is then discussed. The consistency condition of specifications and estimator parameter solution are transformed to feasible or minimum problems subject to a set of LMI respectively. The method is illustrated by a numerical example.     

An Improved Scene-based Nonuniformity Correction Algorithm for Infrared Focal Plane Arrays Using Neural Networks

The improved scene-based adaptive nonuniformity correction （NUC） algorithms using a neural network （NNT） approach for infrared image sequences are presented and analyzed. The retlna-like neural networks using steepest descent model was the first proposed infrared focal plane arrays （IRFPA） nonuniformity compensation method, which can perform parameter estimation of the sensors over time on a frame by frame basis. To increase the strength and the robustness of the NNT algorithm and to avoid the presence of ghosting artifacts, some optimization techniques, including momentum term, regularization factor and adaptive learning rate, were executed in the parameter learning process. In this paper, the local median filtering result of Xij （ n ） is proposed as an alternative value of desired network output of neuron Xij （ n ）, denoted as Tij （ n ）, which is the local spatial average of Xij （ n ） in traditional NNT methods. Noticeably, the NUC algorithm is inter-frame adaptive in nature and does not rely on any statistical assumptions on the scene data in the image sequence. Applications of this algorithm to the simulated video sequences and real infrared data taken with PV320 show that the correction results of image sequence are better than that of using original NNT approach, especially for the short-time image sequences （several hundred frames） subjected to the dense impulse noises with a number of dead or saturated pixels.     

Piecewise Filter of Infrared Image Based on Moment Theory

The disadvantages of IR images mostly include high noise, blurry edge and so on. The characteristics make the existent smoothing methods ineffective in preserving edge, To solve this problem, a piecewise moment filter （PMF） is put forward. By using moment and piecewise linear theory, the filter can preserve edge. Based on the statistical model of random noise, a related-coefficient method is presented to estimate the variance of noise. The edge region and model are then detected by the estimated variance. The expectation of first-order derivatives is used in getting the reliable offset of edge. At last, a fast moment filter of double-stair edge model is used to gain the piecewise smoothing results and reduce the calculation. The experimental result shows that the new method has a better capability than other methods in suppressing noise and preserving edge.     

Bistatic Sonar Localization Based on Best Linear Unbiased Estimation

A best linear unbiased estimation （BLUE） algorithm for bistatic sonar localization is proposed. The Cramer-Rao bound for bistatic Sonar and the geometrical dilution of precision （GDOP） in different conditions are given. The simulation results show that the location accuracy of BLUE algorithm is higher than the weighted least square method.     

Research on Gear-broken Fault Diagnosis in a Tank Gearbox

A fault diagnosis method of working position gear in a tank gearbox is put forward based on simulating the fault of working position gear in an actual tank, extracting the envelope of vibration signal by Hilbert transformation amplitude demodulation method, and zooming the low-frequency band to envelope signal.