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基于最优探测航线椭圆拟合的战斗巡逻规划方法

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针对远海弱情报支援背景下的空中编队战斗巡逻规划问题,提出了一种新的基于最优探测航线椭圆拟合的巡逻空域规划方法。以协同概率探测面积作为遗传算法的适应度函数,求解最优飞机协同探测航线,根据初始航路点列的统计学特征,提出了基于几何距离的双点移除椭圆拟合方法,求解航空兵实际可用的椭圆航线及对应巡逻空域。仿真结果表明,编队按照规划的矩形巡逻空域和椭圆航线进行战斗巡逻,可保持对总任务区域 82。16%的协同探测,与最优雷达探测航线的平均实时探测范围相比仅下降 1。93%,且探测盲区时间空窗小。规划结果能显著降低飞行员的认知载荷,具有较好的实用价值和现实意义。
CAP planning method based on elliptic fitting of optimal detection routes
In view of the combat air patrol(CAP)planning problem in air formation under the background of weak intelligence support in the far sea,a new patrol airspace planning method based on the elliptic fitting of the optimal detection route was proposed.First,the cooperative probability detection area was used as the fitness function of the genetic algorithm to solve the optimal cooperative detection route of the aircraft.Then,according to the statistical characteristics of the initial route points,a two-point removal elliptic fitting method based on geometric distance was used to solve the actual available elliptical route and the corresponding patrol airspace for pilots.The simulation results show that the formation can maintain 82.16%cooperative detection of the total mission area in CAP according to the planned rectangular patrol airspace and elliptical route,and the average real-time detection range only decreases by 1.93%compared with the optimal radar detection route.The time window in the detection blind area is small.The planning results greatly reduce the cognitive load of pilots and have practical value.

combat air patrolcollaborative probability detectionelliptic fittingpatrol airspaceelliptical route

李乐言、杨任农、王瑛、李寰宇、吴傲、岳龙飞

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空军工程大学空管领航学院,西安 710051

战斗巡逻 协同概率探测 椭圆拟合 巡逻空域 椭圆航线

2025

北京航空航天大学学报
北京航空航天大学

北京航空航天大学学报

北大核心
影响因子:0.617
ISSN:1001-5965
年,卷(期):2025.51(1)