共查询到20条相似文献,搜索用时 125 毫秒
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改进了电势理论使其能回避地形威胁,规划实用的三维航迹.将模拟地形的高程数据矩阵按一定的权重叠加到威胁电场上,使威胁场不但能反映雷达、火力威胁而且能反映地形威胁;通过限定位于起始点和目标点之间的搜索范围,减少了计算的复杂度,保证飞行路径最终能到达目标点,同时,在上述航迹规划的基础上,由坡度限制平滑算法,曲率限制平滑算法对... 相似文献
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首先以地形环境数据为基础,建立了综合地形因素、山峰障碍、攻击威胁等为一体的突防网格模型,然后研究建立了基于动态规划算法的航迹规划系统,使低空飞行器不仅能够回避现有的复杂地形、地貌、障碍和攻击威胁等众多因素,而且能实时接收指控系统的命令,对突然来袭的威胁等作出反应,进而重新规划航迹.经仿真试验验证了该系统能够完成预定的飞行任务,具有很好的实用性. 相似文献
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针对多飞行器协同轨迹约束多、耦合强的复杂多目标优化与决策问题,对多飞行器协同轨迹优化进行了较为系统的研究。首先,对多飞行器协同轨迹优化进行了数学描述和对多飞行器在未知环境下的航迹规划进行了数学建模;其次,提出了多飞行器协同任务规划系统优化设计的数值算法,其主要包括多飞行器协同任务分配算法与飞行器最优航迹规划;最后,基于以上的研究,对3种典型不同情况下的多飞行器协同轨迹优化进行了飞行数值仿真与分析。该算法具有以下特性:全局一体优化、采用最优的多维策略、实时在线性、高精度、能够考虑各种随机干扰的作用等。 相似文献
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一种可实现TF/TA2的无人飞行器三维航迹规划方法 总被引:2,自引:1,他引:1
从规划空间的有效表达着手对无人飞行器三维航迹规划展开研究,基于地形和威胁提出的飞行器航迹规划方法将航迹规划分为学习阶段和查询阶段,环境信息和飞行器的大部分约束条件结合在路线图的构造过程中,航迹搜索在此路线图中进行并最终实现全部约束条件.试验结果显示,该方法可以实时获得实现TF/TA2的三维航迹. 相似文献
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结合无人机的机动能力限制条件,研究了基于稀疏A*算法的无人机三维航迹规划.该算法有效修剪了搜索空间中的无用节点,缩短了航迹搜索时间.在搜索过程中,充分利用了三维地形信息,使算法生成的航迹能够自动回避地形和雷达威胁.最后通过三维航迹的可视化仿真,对生成的航迹进行了验证. 相似文献
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威胁联网下低空突防航路规划研究 总被引:2,自引:0,他引:2
分析了威胁联网下信息交流和资源共享对飞行航路规划的影响;针对威胁联网,制定相关的威胁体相互支援表,采用遗传算法进行低空突防航路规划.通过仿真计算证明,此方法规划出的飞行航路能有效提高威胁联网下的战斗机低空突防安全性,为航路规划提供了一种新思路. 相似文献
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The deterministic problem for finding an aircraft's optimal risk trajectory in a threat environment has been formulated. The threat is associated with the risk of aircraft detection by radars or similar sensors. The model considers an aircraft's trajectory in three‐dimensional (3‐D) space and represents the aircraft by a symmetrical ellipsoid with the axis of symmetry directing the trajectory. Analytical and discrete optimization approaches for routing an aircraft with variable radar cross‐section (RCS) subject to a constraint on the trajectory length have been developed. Through techniques of Calculus of Variations, the analytical approach reduces the original risk optimization problem to a vectorial nonlinear differential equation. In the case of a single detecting installation, a solution to this equation is expressed by a quadrature. A network optimization approach reduces the original problem to the Constrained Shortest Path Problem (CSPP) for a 3‐D network. The CSPP has been solved for various ellipsoid shapes and different length constraints in cases with several radars. The impact of ellipsoid shape on the geometry of an optimal trajectory as well as the impact of variable RCS on the performance of a network optimization algorithm have been analyzed and illustrated by several numerical examples. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006 相似文献
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To deal with the radio frequency threat posed by modern complex radar networks to aircraft, we researched the unmanned aerial vehicle (UAV) formations radar countermeasures, aiming at the solution of radar jamming resource allocation under system countermeasures. A jamming resource allocation method based on an improved firefly algorithm (FA) is proposed. Firstly, the comprehensive factors affecting the level of threat and interference efficiency of radiation source are quantified by a fuzzy comprehensive evaluation. Besides, the interference efficiency matrix and the objective function of the allocation model are determined to establish the interference resource allocation model. Finally, A mutation operator and an adaptive heuristic are integtated into the FA algorithm, which searches an interference resource allocation scheme. The simulation results show that the improved FA algorithm can compensate for the deficiencies of the FA algorithm. The improved FA algorithm provides a more sci-entific and reasonable decision-making plan for aircraft mission allocation and can effectively deal with the battlefield threats of the enemy radar network. Moreover, in terms of convergence accuracy and speed as well as algorithm stability, the improved FA algorithm is superior to the simulated annealing algorithm (SA), the niche genetic algorithm (NGA), the improved discrete cuckoo algorithm (IDCS), the mutant firefly algorithm (MFA), the cuckoo search and fireflies algorithm (CSFA), and the best neighbor firefly algorithm (BNFA). 相似文献
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提出了一种测速定轨的实时算法。该方法基于样条表示飞行轨道速度参数 ,在只有多个测速元信息的情况下 ,建立了自适应Kalman滤波递推算法 ,实时给出了较高精度的飞行器轨道参数 相似文献
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飞行器雷达突防是现代战争中自我保护的重要手段.综合考虑了雷达威胁和航程的影响,建立了关于雷达威胁模型和航程的代价函数.针对传统的Dijkstra算法搜索空间大,搜索效率低的问题,进行了改进,并考虑飞行器的偏航角约束,提出了基于栅格的Dijkstra算法.对简单雷达突防和复杂雷达突防进行了仿真验证.仿真结果表明:该算法不仅能较好地回避雷达威胁,而且较好地提高了搜索速度. 相似文献
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《防务技术》2022,18(11):2097-2106
The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system. However, the traditional threat prediction methods mostly ignore the effect of commander's emotion. They only predict a target's present threat from the target's features itself, which leads to their poor ability in a complex situation. To aerial targets, this paper proposes a method for its potential threat prediction considering commander emotion (PTP-CE) that uses the Bi-directional LSTM (BiLSTM) network and the backpropagation neural network (BP) optimized by the sparrow search algorithm (SSA). Furthermore, we use the BiLSTM to predict the target's future state from real-time series data, and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model. Therefore, the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion. The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction, regardless of commander's emotional effect. 相似文献