ID 原文 译文
14265 首先利用BELLHOP模型分别对带有跃层声速剖面、正声速剖面和负声速剖面3种情况下的声传播特性进行了仿真分析; Firstly, BELLHOP model is used to simulate and analyze the acoustic propagation characteristics under three conditions: thermocline sound speed profile, positive sound speed profile and negative sound speed profile.
14266 然后研究了不同声速剖面下潜艇在不同深度航行的概率分布,建立并分析了潜艇运动规律模型,结果表明,不同声速剖面下,潜艇在不同深度航行的概率分布不同; Secondly, the probability distribution of a submarine sailing at different depths under different sound speed profiles is studied, and the model of submarine motion law is established and analyzed. The results show that the probability distribution of a submarine sailing at different depths is different under different sound speed profiles.
14267 最终通过潜艇在不同深度航行的概率分布,计算出吊放声呐不同入水深度下的平均探测距离,得到了不同声速剖面下吊放声呐的最佳入水深度,更能充分发挥声呐装备的最佳性能。 Finally, by using the probability distribution of a submarine sailing at different depths, the average detection distance of the sonar at different underwater depth is calculated to obtain the optimal underwater depth of the sonar under different sound speed profiles. which can give full play to the performance of sonar equipment.
14268 针对未知威胁下无人机实时任务规划问题,将任务重规划分为人机合作规划和自主规划两种方式,设计了一种基于人机协同认知的无人机任务重规划逻辑选择架构。 Aiming at the problem of UAVs' real-time mission planning under unknown threats,the missionre-planning is divided into two modes of human-machine cooperative planning and autonomous planningand a logical selection architecture for UAVs' mission re-planning is designed based on human-machinecollaborative cognition.
14269 该架构将无人机的自主规划能力与人的观察、判断、决策和规划能力相结合,目的是使无人机能够适应复杂多变的战场环境。 The architecture combines the autonomous planning ability of the UAV with theobservation judgment decision-making and planning abilities of human beings to enable the UAV be adaptableto the complex and changeable battlefield environment.
14270 从人机交互、无人机、环境、任务4个角度考虑,采用模糊综合评判法对无人机自主能力进行综合评价,根据其自主能力的高低选择任务重规划方式。 The fuzzy comprehensive evaluation method is used toevaluate autonomous ability of the UAV from four perspectives of human-machine interaction UAV environmentand mission,and then the mission re-planning method is selected according to the autonomous ability of the UAVsystem.
14271 通过实例计算,说明了自主能力模糊综合评判结果比较可靠、客观。 The result shows that the fuzzy comprehensive evaluation of autonomous ability is reliable and objective
14272 针对飞行器集群系统中存在着定位精度差异较大的飞行器集群飞行情况,以及传统主从式协同导航结构系统存在可靠性低、不能充分利用集群系统协同导航信息的问题,提出了一种分层式结构的集群飞行器协同导航方法。 Aiming at the problems that there is a large difference in the positioning accuracy of the aircraftsin aircraft swarm and the traditional leader-follower cooperative navigation structure system has low reliabilityand cannot fully utilize the cooperative navigation information of the swarm system a hierarchical-structureswarm aircraft cooperative navigation method is proposed.
14273 该方法将参与集群的飞行器按照其定位精度高低分层,同层飞行器定位精度相当,一架低精度层飞行器可以同时接受多架高精度层飞行器的协同导航信息,然后建立基于相对距离以及相对角度的协同导航模型,最后通过卡尔曼滤波来修正低精度层飞行器的机载导航信息。 The method stratifies the aircrafts participating inthe swarm according to their positioning accuracy and the positioning accuracy of aircrafts at the same layer isequivalent. An aircraft at low-precision layer can simultaneously receive the cooperative navigation informationof multiple aircrafts at high-precision layer. Then a cooperative navigation model based on relative distanceand relative azimuth angle is established. Finally the Kalman filter is used to correct the airborne navigationinformation of the low-precision layer aircrafts.
14274 仿真结果表明,该结构相对于传统主从式协同导航结构能够有效提高集群飞行系统中低精度层飞行器的定位精度,并可增强集群协同导航系统的可靠性和容错性能。 The simulation results show that the structure can effectivelyimprove the positioning accuracy of low-precision layer aircrafts in the swarm flight system and enhance thereliability and fault-tolerant performance of the cooperative navigation system compared with the traditionalleader-follower cooperative navigation structure.