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An Air Defense Weapon Target Assignment Method Based on Multi-Objective Artificial Bee Colony Algorithm

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Computers, Materials & Continua 2023年第9期76卷 2685-2705页

作者： huaixi xing Qinghua xing Air and Missile Defense College Air Force Engineering UniversityXi’an710051China

With the advancement of combat equipment technology and combat concepts,new requirements have been put forward for air defense operations during a group target *** achieve high-efficiency and lowloss defensive operations,a reasonable air defense weapon assignment strategy is a key *** this paper,a multi-objective and multi-constraints weapon target assignment(WTA)model is established that aims to minimize the defensive resource loss,minimize total weapon consumption,and minimize the target residual *** optimization framework of air defense weapon mission scheduling based on the multiobjective artificial bee colony(MOABC)algorithm is *** solution for point-to-point saturated attack targets at different operational scales is achieved by encoding the nectar with real *** are performed for an imagined air defense scenario,where air defense weapons are *** non-dominated solution sets are obtained by the MOABC algorithm to meet the operational *** the case where there are more weapons than targets,more diverse assignment schemes can be *** to the inverse generation distance(IGD)index,the convergence and diversity for the solutions of the non-dominated sorting genetic algorithm III(NSGA-III)algorithm and the MOABC algorithm are compared and *** results prove that the MOABC algorithm has better convergence and the solutions are more evenly distributed among the solution space.

关键词： Weapon target assignment multi-objective artificial bee colony air defense defensive resource loss total weapon consumption target residual effectiveness

3D Trajectory Planning of Positioning Error Correction Based on PSO-A* Algorithm

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Computers, Materials & Continua 2020年第12期65卷 2295-2308页

作者： huaixi xing Yu Zhao Yuhui Zhang You Chen Air Force Engineering University Xi’an710038China

Aiming at the yaw problem caused by inertial navigation system errors accumulation during the navigation of an intelligent aircraft,a three-dimensional trajectory planning method based on the particle swarm optimization-A star(PSO-A*)algorithm is ***,an environment model for aircraft error correction is established,and the trajectory is discretized to calculate the positioning ***,the positioning error is corrected at many preset trajectory *** shortest trajectory and the fewest correction times are regarded as optimization goals to improve the heuristic function of A star(A*)***,the index weights are continuously optimized by the particle swarm optimization *** optimal trajectory is found by the A*algorithm under the current evaluation index,so the ideal trajectory is *** experimental results show that the PSO-A*algorithm can quickly search for ideal trajectories in different environment models,indicating that the algorithm has certain feasibility and adaptability,and verifies the rationality of the proposed trajectory planning *** PSO-A*algorithm has better convergence accuracy than the A*algorithm,and the search efficiency is significantly better than the grid search A star(GS-A*)*** PSO-A*algorithm proposed in this paper has certain engineering application *** researchers will study the real-time and systematic nature of the algorithm.

关键词： Trajectory planning PSO-A* error correction intelligent aircraft

Fabrication and characterization of high-damage resistance Zn-diffused MgO:PPLN ridge waveguides

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Optoelectronics Letters 2024年第1期20卷 12-17页

作者： CHENG xing FENG Xinkai MA Lei CHEN Jiaying CHEN huaixi LIANG Wanguo College of Chemistry Fuzhou UniversityFuzhou 350108China Fujian Institute of Research on the Structure of Matter Chinese Academy of SciencesFuzhou 350108China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China

This study investigates the fabrication process of Zn-diffused ridge waveguides in periodically poled magnesium-doped lithium niobate(PPMgO:LN).A controlled variable method is used to study the effects of diffusion temperature,diffusion time,ZnO film thickness,and barrier layer thickness on the surface domain depolarization and waveguide quality of PPMgO:LN.A special barrier layer is proposed that can automatically lift off from the sample surface,which increases the depth of Zn doping and reduces the surface loss of the *** optimizing the process parameters,we fabricate Zn-diffused PPMgO:LN ridge waveguides with a length of 22.80 mm and a period of 18.0μ*** above waveguides can make a second harmonic generation(SHG)at 775 nm with an output power of 90.20 mW by a pump power of 741 mW at 1550 *** corresponding conversion efficiency is 3.160%/W·cm2,and the waveguide loss is approximately 0.81 dB/*** results demonstrate that high-efficiency devices can be obtained through the fabrication process described in this paper.

关键词： waveguide waveguides pump

基于多目标灰狼算法的干扰资源多效能优化方法

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北京航空航天大学学报 2020年第10期46卷 1990-1998页

作者：邢怀玺吴华陈游张翔空军工程大学航空工程学院西安710038

依靠经验决策或简单的模板匹配的传统干扰资源决策方式难以适应当前复杂的电磁环境。针对雷达干扰资源决策的智能化需求展开研究,将干扰资源调度建模为多目标优化问题,以最大化整体干扰效能、最小化干扰总功率、最小化作战损失为目标函... 详细信息

依靠经验决策或简单的模板匹配的传统干扰资源决策方式难以适应当前复杂的电磁环境。针对雷达干扰资源决策的智能化需求展开研究,将干扰资源调度建模为多目标优化问题,以最大化整体干扰效能、最小化干扰总功率、最小化作战损失为目标函数建立干扰资源调度模型,利用一种多目标灰狼算法(MOGWO)求解问题模型Pareto前沿,以最优解集代替最优解,再根据战场实际情况选择最佳调度方案,使决策方案更加科学合理。实验结果表明,MOGWO算法能够克服基本灰狼算法(GWO)探索能力不足、局部收敛的缺陷,有较高的搜索效率,算法的寻优能力和稳定性均优于NSGA-Ⅱ算法和MOPSO算法。

关键词：干扰资源决策多目标灰狼算法(MOGWO) 多目标优化最小化战损干扰效能

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基于方位多假设的单基线干涉仪定位方法

北京航空航天大学学报 2021年第5期47卷 1049-1057页

作者：邢怀玺吴华陈游张景轩空军工程大学航空工程学院西安710038 合肥职业技术学院汽车工程学院合肥238000

为了解决机载单站无源定位系统中一维单基线干涉仪测量相位差信息的模糊问题,改进仅利用相位差变化率定位方法,将模糊相位差作为有效的定位参数,提出一种基于方位多假设的单基线干涉仪定位方法。利用模糊相位差和相位差变化率初始化辐... 详细信息

为了解决机载单站无源定位系统中一维单基线干涉仪测量相位差信息的模糊问题,改进仅利用相位差变化率定位方法,将模糊相位差作为有效的定位参数,提出一种基于方位多假设的单基线干涉仪定位方法。利用模糊相位差和相位差变化率初始化辐射源目标的可能距离方位信息,并通过高斯-扩展卡尔曼滤波(GS-EKF)算法解算辐射源目标位置。所提方法克服了仅利用相位差变化率定位受观测平台机动影响的缺陷,有效缩短了定位时间,同时不必考虑解相位模糊,定位性能均优于仅利用相位差或相位差变化率的定位方法,在实际工程运用中可以降低设备复杂度和成本。

关键词：无源定位单基线相位差相位差变化率高斯-扩展卡尔曼滤波(GS-EKF)

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LMS预处理的相位差机载单站无源定位方法

空军工程大学学报（自然科学版） 2019年第6期20卷 9-14页

作者：邢怀玺吴华陈游空军工程大学航空工程学院

针对机载单站无源定位精度受限于参数测量误差的实际问题,提出一种改善相位差误差下的网格搜索无源定位方法。首先采用LMS自适应滤波算法对相位差信息进行滤波处理,然后根据定位模型利用观测的相位差建立定位方程,最后通过网格搜索法解... 详细信息

针对机载单站无源定位精度受限于参数测量误差的实际问题,提出一种改善相位差误差下的网格搜索无源定位方法。首先采用LMS自适应滤波算法对相位差信息进行滤波处理,然后根据定位模型利用观测的相位差建立定位方程,最后通过网格搜索法解算辐射源目标位置。该方法可以在相位差测量误差较大情况下实现对辐射源目标的精确定位。仿真实验结果表明,滤波处理后的相位差误差可以减小到0.14 rad以下,而且定位结果优于文献[17]的方法。通过分析定位误差,表明相位差误差在10°范围内,增大网格分辨率和延长观测时间可以提高定位精度,同时也进一步验证了获取高精度相位差信息的必要性。

关键词：无源定位相位差 LMS自适应滤波网格搜索

基于MADDPG的无人机群空中拦截作战决策研究

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计算机科学 2023年第S1期50卷 88-94页

作者：蔺向阳邢清华邢怀玺中国人民解放军军事科学院北京100091 空军工程大学防空反导学院西安710051

基于未来现代化作战需求,构建作战想定,研究在此想定条件下,使用强化学习解决关于红蓝双方无人机编队空中拦截任务的多目标智能决策问题。根据作战模式和应用需求,选择多智能体确定性梯度算法,并对算法原理进行简要介绍;按照想定,编程... 详细信息

基于未来现代化作战需求,构建作战想定,研究在此想定条件下,使用强化学习解决关于红蓝双方无人机编队空中拦截任务的多目标智能决策问题。根据作战模式和应用需求,选择多智能体确定性梯度算法,并对算法原理进行简要介绍;按照想定,编程搭建了完备的模拟作战训练平台;设计智能体网络模型、网络参数和训练方法;经过训练,初步达到预期效果。实验证明了所选用算法能够有效地解决该类问题,不仅为该类问题的现实应用提供了技术支撑,也为更复杂作战场景和作战任务条件下智能决策的研究提供了理论基础和实验参考。

关键词： MADDPG 无人机群智能决策空中拦截作战多智能体强化学习

基于MCIS技术的相位差变化率单站无源定位

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航空学报 2021年第3期42卷 353-365页

作者：邢怀玺张宇晖陈游周一鹏何文波空军工程大学航空工程学院西安710038 空军装备部驻成都第三军事代表室成都610000

针对最大似然估计(ML)方法求解测相位差变化率单站无源定位问题计算量大、定位慢的问题,本文提出一种利用蒙特卡洛重要性抽样技术(MCIS)高精度、低复杂度的估计方法。根据Pincus定理推导出ML问题的近似全局解,利用重要性抽样(IS)技术构... 详细信息

针对最大似然估计(ML)方法求解测相位差变化率单站无源定位问题计算量大、定位慢的问题,本文提出一种利用蒙特卡洛重要性抽样技术(MCIS)高精度、低复杂度的估计方法。根据Pincus定理推导出ML问题的近似全局解,利用重要性抽样(IS)技术构建符合高斯分布概率密度(PDF)的重要性函数,作为样本选取的依据,通过逆变换采样获得样本集,统计样本均值直接得到辐射源位置估计结果。MCIS方法简单易实现且运算量低,能够克服传统ML估计多维网格搜索耗时较长的缺陷,而且对目标位置初始估计误差有较低的敏感性。实验结果表明,MCIS算法在相同测量噪声水平下,定位精度优于EKF、NLS算法,有效减小了初始化估计误差对算法定位精度的影响,也进一步讨论分析了算法参数和不同观测条件对定位性能的影响。

关键词：无源定位重要性抽样相位差变化率最大似然估计逆变换采样

Compact yellow-orange Nd:YVO_(4)/PPMgLN laser at 589 nm

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Optoelectronics Letters 2023年第11期19卷 641-645页

作者： MA Lei FENG Xinkai CHEN huaixi CHENG xing CHEN Jiaying LIANG Wanguo College of Chemistry and Material Fujian Normal UniversityFuzhou 350008China Fujian Institute of Research on the Structure of Matter Chinese Academy of SciencesFuzhou 350002China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China

We propose and make a compact yellow-orange laser of the Nd-doped yttrium vanadate(Nd:YVO_(4))/periodically poled Mg-doped lithium niobate(PPMgLN)module by Raman frequency-doubling at 589 *** reasonably designing the size of the Nd:YVO_(4)and 5 mol%PPMgLN crystals,cavity length and coating parameter,a compact 589 nm laser module with a total size of 3 mm×10 mm×1.5 mm is *** the laser module,the input surface of Nd:YVO_(4)crystal is end-pumped by an 808 nm laser diode(LD).Under the effect of linear resonant cavity structure,the output surface of PPMgLN crystal with a period of 9.48μm generates 589 nm yellow-orange *** experimental results show that the maximum output power at 589 nm is 390 mW at the pump power of 3 W with the optical-optical conversion efficiency of 13%and the stability of the output power is less than 2%within 3 h.

关键词： Nd: PPMgLN laser