用于多传感器最优融合的优化节点样条数据平滑方法

对多个精度不同的传感器观测数据采用了加权平均法，给出了观测数据的最优融合方法；在此基础上，利用优化理论和最小二乘准则，对高机动目标的运动轨迹实现了B样条函数逼近，使逼近过程适应目标的运动规律，仿真计算结果表明其明显地优于微分平滑和等距节点平滑。     

基于恒星几何构型分布的天文定位误差建模及误差特性分析

天文导航系统以天体为导航信标进行导航定位,其定位性能除了受天文测量仪器精度的影响外,和所观测天体几何构型分布亦有关联。从天文定位基本原理出发,推导建立了天文定位误差模型,分析了影响天文定位性能的因素,着重研究了恒星几何构型中恒星方位角对天文定位性能的影响,给出了在测量精度一定的条件下,可用于判别天文定位性能优劣的误差权系数k以及天文定位性能较优的恒星分布情况。仿真结果表明,所提出的天文定位误差模型可以有效用于分析天文定位性能。     

基于最小二乘法的牛顿迭代信源定位算法

文中结合多种信源定位技术中的定位精度问题，提出了一种基于最小二乘法的牛顿迭代定位算法．以水声定位为例．对该算法进行了计算机仿真．并与最小二乘法的仿真结果进行了比较，结果表明该方法对于提高信源定位精度是有效的。     

基于导航恒星几何分布的天文导航定姿系统误差建模及误差特性研究

导航恒星作为天文导航系统定姿的基础信息源,其空间分布对天文导航系统定姿性能存在较大影响。为有效分析天文定姿误差特性,基于天文定姿观测基本原理,采用多矢量天文定姿方法,推导建立了天文定姿误差模型,基于该模型分析了影响天文定姿性能的关键因素,并给出用于评价定姿性能优劣的误差权系数定义。以多矢量定姿中的三星观测定姿为例,采用仿真验证了所建立的基于恒星几何分布的天文定姿误差模型的正确性,该误差模型能够有效反映天文定姿的误差特性规律,为分析天文定姿性能提供了理论依据。     

基于SSII软件接收机的数据处理及定位算法

针对GPS定位中的伪距观测值出现奇异及跳变而无法进行准确定位的问题,研究了剔除奇异及跳变值的方法,给出了具体的公式推导和判定准则;为提高定位精度,建立了定点模型条件下的衰减记忆法滤波,并给出了具体的实现方法;仿真结果表明:该方法能有效解决跳变条件下准确定位问题,衰减记忆法滤波的定位精度优于常规卡尔曼滤波和迭代最小二乘法的定位精度。     

多模自适应递推最小二乘滤波在机动目标跟踪中的应用

针对火控系统设计中卡尔曼滤波器存在的不足,在机动目标跟踪中应用最小二乘滤波方法.基于最小二乘法基本原理,推导递推格式最小二乘滤波公式系,详细论述其工程实现方法,并通过模拟航路仿真及实装动飞进行试验验证.结果表明:该方法的多模自适应递推最小二乘滤波能满足某火控系统相关要求,对类似系统具有一定的工程参考意义.     

一种新型卡尔曼滤波器在天文定位中的应用

针对应用Sage-Husa自适应滤波进行天文定位时滤波效果差的问题,提出了采用一种新型滤波器对天文定位问题进行研究和仿真的思路,建立了舰船动态系统模型,验证了此滤波器应用于天文定位的有效性。     

加权最小二乘融合技术在主动侧杆中的应用

针对主动侧杆伺服跟踪系统中角位移传感器(rotary variable differential transformer,RVDT)和旋转变压器 去除噪声的问题,提出一种加权最小二乘(weighted least squares,WLS)算法。以主动侧杆系统为研究对象,在最小 二乘算法、递推最小二乘算法的基础上,对主动侧杆伺服跟踪系统进行分析,通过最小二乘算法、递推最小二乘算 法、加权最小二乘算法融合算法进行仿真。通过对比3 种融合算法的仿真结果,结果证明：该算法使伺服系统获得 了更精确的位置信息,具备去除噪声的优越性以及可行性。     

基于改进型偏最小二乘回归法导弹磁补偿研究

通过分析导弹背景磁场模型,针对导弹背景磁场模型存在的复共线性问题,提出基于偏最小二乘回归法模型参数估计方法.为了消除系统噪声对参数估计影响,对偏最小二乘回归参数估计方法进行改进,利用正交投影原理消除测量数据中无关信息.仿真说明偏最小二乘回归能够克服导弹背景磁场模型的复共线性,提高模型参数估计精度,但其对噪声抑制能力较差;而改进的偏最小二乘回归法不但能提高参数估计精度,对系统噪声具有一定的抑制作用.     

基于卫星导航 RNSS/RDSS 组合业务的三星定位算法

提出了一种基于卫星导航 RNSS ／RDSS 组合业务的三星定位算法,该算法是通过用户同时观测3个 RNSS 业务和1个 RDSS 业务伪距观测量,建立用户伪距观测方程组,再采用最小二乘法求解用户三维位置坐标和钟差,实现基于 RNSS ／RDSS 组合业务伪距观测量的三星快速定位;通过理论推导,分析了伪距观测误差对用户定位精度影响。通过数据仿真试验,验证了实际三星定位组合星座和伪距观测噪声条件下的用户定位精度。     

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.     

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 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.     

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.