A Study of New Method for Weapon System Effectiveness Evaluation Based on Bayesian Network

As weapon system effectiveness is affected by many factors,its evaluation is essentially a multi-criterion decision making problem for its complexity.The evaluation model of the effectiveness is established on the basis of metrics architecture of the effectiveness.The Bayesian network,which is used to evaluate the effectiveness,is established based on the metrics architecture and the evaluation models.For getting the weights of the metrics by Bayesian network,subjective initial values of the weights are given,gradient ascent algorithm is adopted,and the reasonable values of the weights are achieved.And then the effectiveness of every weapon system project is gained.The weapon system,whose effectiveness is relative maximum,is the optimization system.The research result shows that this method can solve the problem of AHP method which evaluation results are not compatible to the practice results and overcome the shortcoming of neural network in multilayer and multi-criterion decision.The method offers a new approach for evaluating the effectiveness.     

Adaptive Signal Conditioning Technology in Fighter Weapon System Test

In order to realize the real-time and precise test for a weapon system of a certain type of fighter, a signal classification method according to attributes is proposed, common input channels for multiple signals are configured optimally, and a test adapter and an adaptive signal conditioning module is designed. The hardware of conditioning module can be configured flexibly and the programmable test range can be adjusted owing to programmable multiplexer. An FPGA adaptive filter is designed by the calculated filter coefficient vectors with LMS method to solve the problem of parallel test of fighter weapon system in electromagnetic interference environment. The adaptive signal conditioning technology is characterized by high efficiency, precision and integration. Its application makes the test system successful to conduct real-time and parallel test for a weapon system, which is developed based on VXI bus and virtual-instrument technology.     

Influence of Missile Fusillade Engagement Mode on Operation Efficiency

Shoot efficiency is one of the most important evaluation indexes of the operation efficiency of weapon system.In this paper,based on definitions of the probability and the expected number of missed attacking missiles,the expected numbers of anti-missiles and attacking missiles hit by single anti-missile,fusillade mechanism of multi-missile is analyzed systematically.The weapon operation efficiency in various engagement patterns is also studied.The results show that double missiles fusillade is the most feasible manner for increasing the weapon operation efficiency.     

Design of PID Controllers System with Multiple of Anti-aircraft Artillery Servo Performance Specifications

A novel design method for determining the proportional-integral-derivative（PID） controller gains of an anti-aircraft artillery servo system with multiple performance specificauons based on a particle swarm optimization （PSO） algorithm is proposed. First, a performance criterion evolution function combined with the system maximum displacement settling time, rise time, overshoot, steady state error, constant velocity tracking error and sine wave tracking error is defined. Second, the optimization problem of PID controller parameters and the searching procedure of PSO algorithm are constructed. Finally, the optimal or near optimal PID controller parameters are fast and easily obtained by solving the above optimization problem on the given controller parameter space following the PSO searching procedure. The simulation results show the effectiveness of the proposed controllers.     

Unscented Kalman Filter for Autonomous Warship Attitude Determination

To address a problem of autonomous attitude determination algorithm using gravitational field and geomagnetic field observation, a new recursive optimization autonomous attitude estimation algorithm is proposed. The algorithm is based on unscented Kalman fiher(UKF), and can synchronously provide the attitude rate information. The simulated results show that the measurement precision of the method could be increased by 2 times compared to that of the common methods.     

LNN Blind Multi-user Detection Algorithm for Multi-path-fading CDMA Channels

A blind multi-user detection algorithm （BMUD） which is suitable for multi-path-fading Channels based on Lagrange neural network （LNN） is proposed. Based on the minimum output energy （MOE） criterion, the blind detection algorithm is formulated as a constrained optimization problem inherently and is then resolved efficiently using the neural network . Compared with the previous RLS（recursive least squares ）-MOE blind detection algorithm or for multi-path channel, the BMUD based on LNN has better performances： lower computational complexity, faster convergence speed and capability in the multi-path-fading channel. The bit error rate （BER） and signal-to-interference-and-noise ratio （SINR） performances of the detection algorithm in multi-path channel are close to that in single path channel.     

Joint Maintenance Policies for a Stored System with Two Units

Failure of a stored system can only be detected after inspection and its reliability can be resumed by replacement of failed components. A maintenance policy of combining periodic inspection and preventive replacement is proposed to improve its availability. To coordinate component replacement and spare provision, an ordering policy of （0, 1） is consid- ered jointly. Thus, the joint maintenance policy contains inspection, replacement and spare provision. A programming model based on the joint maintenance policy is established, whose objective function is average expected cost, containing maintenance cost and inventory cost, and the constraint is system availability. Applying renewal theorem, the perfor- mance indexes are deduced under the condition that the stored system obeys the common life distribution. Numerical examples are given for a stored system with two different units, where unit 1 probability degrades with time and unit 2 probability degrades at each test. The effect of reliability parameters on the policies is discussed. The results indicate that the joint policy is very close to the independent policy.     

A Sub-pixel Image Processing Algorithm of a Detector Based on Staring Focal Plane Array

Optical micro-scanning technology can be used to increase spatial resolution of many optical imaging systems, especially thermal imaging system. One of its key issues is relevant image processing algorithm. A fast reconstruction algorithm is proposed for two dimensional 2 × 2 micro-scanning based on the sub-pixel imaging and reconstruction principle of two-dimensional staring focal plane arrays （FPA）. Specifically, three initialization methods are presented and implemented with the simulated data, their performances are compared according to image quality index . Experiment results show that, by the first initialization approach, timely over-sampled image can be accurately recovered, although special field diaphragm is needed. In the second initialization, the extrapolation approximation in obtaining reconstruction results is better than either bilinear interpolation or over-sampling reconstruction, without requiring any special process on system. The proposed algorithm has simple structure, low computational cost and can be realized in real-time. A high-resolution image can be obtained by low-resolution detectors. So, the algorithm has potential applications in visible light and infrared imaging area.     

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.     

Collaborative Error Registration Algorithm for Radar System

Affected by common target selection, target motion estimation and time alignment, the radar system error reg- istration algorithm is greatly limited in application. By using communication and time synchronization function of a data link network, a collaborative algorithm is proposed, which makes use of a virtual coordinates constructed by airplane to get high precision measurement source and realize effective estimation of the system error. This algorithm is based on Kalman filter and does not require high capacities in memory and calculation. Simulated results show that the algorithm has better convergence performance and estimation precision, no constrain on sampling period and accords with transfer characteristic of data link and tactical internet perfectly.     

基于方向概率和改进蜂群算法的地面防空武器组网系统优化布阵

针对反低空小目标大组网系统的布阵问题，提出了一种基于方向概率的评估指标体系。通过计算随防御角度方向变化的总体毁伤概率，精细描述了大组网系统的效能，解决了覆盖面积等传统指标描述系统所带来的与真实效能不符的问题。利用sigmoid函数对计算结果进行变换并归一化，也很好地解决了大组网系统布阵与优化算法的衔接问题。提出衔接系数、重叠系数和覆盖系数，衡量各子网关系使其合理配置。最后应用改进的蜂群算法，对特定的阵地进行优化配置，对所提出的指标体系进行仿真。仿真结果表明：本文提出的基于方向概率的评估指标体系和改进的蜂群优化算法可以有效结合，并能很好地觯决大组网系统的优化布阵问题。     

组合赋权法在防空武器系统作战效能评估中的应用

防空武器系统作战效能包括发现概率、服务概率、毁伤概率、生存能力和系统可用度.在评价过程中引入组合赋权法,采用若干专家分析方案确定指标权重值,再进行折衷处理,求得各指标的综合权重值,最后通过线性加权得出系统效能.实例验证了此方法在防空武器系统中的有效性.     

不确定因素下海上要地防空动态火力分配模型

针对海上要地防空作战中原火力分配方案可能被不确定因素打乱的问题,提出一种综合考虑目标拦截概率与防空武器射击稳定性的双目标动态火力分配（DWTA）模型。针对海上要地防空作战特点,给出3种不确定因素;构建DWTA双目标优化函数,并给出相关参数定义;接着给出双目标优化模型的求解步骤;结合算例对所提出的方法进行仿真验证。通过对仿真结果分析发现,所提模型能够给出防空武器射击稳定性高、目标拦截效率较高的火力分配方案;当有不确定因素时,该模型可以在一定时间内给出新的合理火力分配方案,对提高海上要地防空武器作战效率有一定参考价值。     

协同优化技术在自动武器设计中的应用与实现

为了解决自动武器设计中参数多、参数间相互耦合、不易获得系统整体性能的满意解的问题,采用协同优化策略对自动武器多个系统参数进行优化.建立了参数化的2层4个子系统的自动武器优化模型,通过系统间的一致约束,得到以射击精度为系统总体目标的优化结果.与传统设计结果比较,总体设计的质量和效率都有所提高.     

基于效能指数的防空体系威慑效能评估

为衡量防空体系的威慑效能,给出了防空体系和空袭体系的标准化要素,提出了采用效能指数法对同类和异类武器装备作战能力指数的标准化算法,计算了防空体系和空袭体系的总效能指数,根据两者的计算结果提出防空体系威慑效能的计算方法.     

作战方案效能分析系统研究

作战方案效能分析系统由作战方案数据库、数字化地图库、武器性能库、编制库、作战能力影响因素库和效能分析软件组成.其作战能力分析模型仅考虑给定编制和武器装备的作战能力.并用改进兰彻斯特方程求解敌我兵力损耗,以推进率方程求解到达目的地的时间,继而求出完成任务的成功率.从而评价作战方案效能.     

基于一种改进粒子群算法的水下远程武器航路规划

针对水下远程武器航路规划中,采用基本粒子群算法避障出现的航路倒退问题,提出了一种借鉴遗传算法采用粒子对换的改进粒子群优化（PSO）算法,并结合远程武器的航路规划设计模型,应用于水下武器作战仿真系统。计算结果表明,该算法可有效提高远程武器航路规划避障的计算效果,对水下远程武器的作战使用研究具有一定的参考价值。     

基于混沌蚁群算法的集群无人机协同任务分配

针对无人机集群协同任务分配问题,以无人机集群完成所有任务的总航程和未完成任务数最小为优化目标,构建多目标的多任务分配数学模型,并提出基于混沌蚁群算法的优化方法对模型进行求解。借鉴混合算法能提高单一算法性能的思想,在集群任务分配问题中将混沌算法的遍历性、随机性和蚁群算法的信息素正反馈机制结合起来,并通过仿真实验验证所提方法的有效性和适用性。结果表明：基于混沌蚁群算法的集群无人机协同任务分配方法能够增强全局寻优能力,提高算法效率,为多无人机分配最优的任务序列。     

基于RBFSMC 的舰载武器随动系统控制策略

为解决舰载武器在海上射击时精度不高的问题,提出一种基于RBF 神经网络滑模控制策略。根据舰载武 器随动系统的工作原理,建立舰载武器随动系统数学模型,利用滑模在非线性控制中的优越性,采用RBF 神经网络 对系统的摄动参数进行自适应逼近,解决滑模在切换时产生的抖振问题,得出舰载武器随动系统位置控制器的控制 律。仿真结果表明：该控制策略能提高舰载武器随动系统的快速响应能力和动态精度,满足系统要求。