ID 原文 译文
22175 以无人机(UAV)为代表的无人系统分布式集群作战是未来战斗力的增长点，集群态势感知是集群作战的重要环节。 The distributed swarm operation of unmanned systems represented by Unmanned Aerial Vehicle (UAV) is the growth point of the future war, and the swarm situation awareness is an important part.
22176 该文在典型态势感知模型的基础上，从理论模型、态势感知一致性、评价方法等方面，对无人机分布式集群态势感知展开研究。 Based on the typical situation awareness model, the distributed swarm situation awareness of UAV is studied.
22177 将基于动态系统的 Endsley1995 态势感知(SA)模型中的心智模型修改为人机智能模型，得到无人机个体的态势感知模型； Firstly, in the individual level, the mental model in the dynamic system of the Endsley1995 Situation Awareness (SA) model is modified as a human-computer intelligent model.
22178 基于团体 SA 和分布式 SA(DSA)理论，按照无人机集群类型，分别设计同构和异构无人机集群 SA 模型； Then in accordance with the UAV swarm type, isomorphic and heterogeneous, based on the team SA and Distributed SA (DSA) theory, the UAV swarm SA model are built.
22179 对无人机集群 SA 中的一致性问题和评价问题进行分析，给出同构无人机集群 SA 的一致性形成过程，异构无人机集群 SA 的一致性判断方法和无人机集群 SA 评价方法的选择流程。 Then, the consensus and evaluation problems of UAV Swarm SA are analyzed. The consensus formation process of isomorphic UAV swarm SA and the consensus judgment method of heterogeneous UAV swarm SA are given. And the choice of UAV swarm SA evaluation method is analyzed.
22180 分析表明，建立的集群态势感知模型符合集群协同作战特点，有一定的积极意义。 The analysis shows that the proposed swarm situation awareness model is corresponding to the swarm cooperative combat characteristics and has certain positive significance.
22181 针对分布式 MIMO 雷达正交相位编码信号和其失配滤波器组分开设计输出的距离旁瓣电平仍然过高的问题，该文提出一种正交相位编码信号和失配滤波器组联合设计方法。 For the high Range Sidelobe Level (RSL) of designing distributed MIMO radar orthogonal phase coded waveforms and its mismatched filter bank separately, a joint design method of Orthogonal Phase Coded Waveforms and Mismatched Filter Bank (OPCW-MFB) is proposed in this paper.
22182 首先，以约束信噪比损失和最小化失配滤波组输出的距离旁瓣电平为目标，构建联合设计准则。 Firstly, by controlling signal-to-noise ratio loss and minimizing the RSL of mismatched filter bank output, the joint design criterion is formulated.
22183 然后，根据最小p范数算法的理论，给出一种基于 L-BFGS算法的双最小p范数算法进行求解。 Then, based on the theory of a least-pth minimax algorithm, a double least-pth minimax algorithm with the L-BFGS as its sub-algorithm is proposed to solve it.
22184 仿真结果表明，与分开设计方法相比，该文方法输出的距离旁瓣电平可以进一步降低。 Numerical results show that compared with the separate design methods of OPCW-MFB, the proposed method can further suppress the RSL.