ID	原文	译文
51037	能提高差分跳频系统的解调误码性能。	can improve the demodulation error performance of differential frequency hopping system.
51038	在并行拓扑结构下，从系统级的角度对多传感器网络目标检测方法进行综述，	Under the parallel topological structure, from the Angle of system level multi-sensor network target detection methods were reviewed,
51039	将似然比检测归纳分类为统计量(决策统计量和融合统计量)的确定和门限(决策门限和融合门限)的求解两部分，并分别展开论述。	the likelihood ratio detection inductive classification for statistics (decision statistic and fusion statistic) and to determine the threshold (decision threshold and fusion threshold) solution of the two parts, respectively.
51040	在硬决策融合系统统计量确定方面，分别归纳了理想信道、非理想信道条件下，不同融合统计量构成检测器的检测性能优劣，	In terms of hard decision fusion system statistics to determine, summarizes the ideal channel respectively, non ideal channel conditions, different fusion statistics to form the detection performance of detector,
51041	并通过仿真试验对比分析了不同融合统计量的检测性能;	and through the simulation test of statistic analysis of the different fusion detection performance;
51042	在软决策融合系统统计量确定方面，归纳了软决策融合系统中局部传感器节点性能度量方式，并对比分析了局部传感器节点决策空间划分方法;	In soft decision fusion system statistics to determine local sensor nodes in the soft decision fusion system of performance measurement, and analysis of the local sensor node decision space partition method;
51043	在门限求解方面，将门限求解方法归纳总结为逼近法、迭代法、蒙特卡罗方法，并分析比较这些方法的适用范围、优缺点等;	Threshold for solving ways, the threshold method summarized for approximation method, iterative method, monte carlo method, and analyzed the applicable scope, advantages and disadvantages of these methods, etc. ;
51044	最后，对多传感器网络目标检测进行了展望。	Finally, the multisensor network target detection is discussed.
51045	为解决舰载机在特殊的机库环境中调运路径规划问题，提出了一种融合Dijkstra方法的凸壳算法。	To solve the aircraft scheduling path planning problems in special libraries environment, this paper proposes a fusion method of Dijkstra algorithm of convex hull.
51046	首先，建立了飞机机库调运的数学模型以及相关基础模型，为算法应用提供基础。	First, established the mathematical model of aircraft hangar dispatching model and related basis, provide the basis for the algorithm application.