ID 原文 译文
38636 源信号经过反射面反射后,阵列单元接收的信号之间的相关性会降低。 Source signal after reflecting surface reflection array unit receives the signal correlation between is reduced.
38637 这些因素决定了阵列馈源的DOA估计具有特殊性。 These factors determine the DOA estimation of the array feed has particularity.
38638 因此结合焦面场,设计了多波束反射面天线二维DOA估计方法,并进行了仿真,仿真结果证明了该方法的有效性和实用性。 Combining with the focal plane as a result, the multi-beam reflector antenna design of a 2 d DOA estimation method, and has carried on the simulation, the simulation results prove the validity and practicability of the proposed method.
38639 为提升战时合成部队备件保障效能,需对其进行有效分类,以便开展备件的预储预置。 To improve synthesis unit spare parts in wartime guarantee efficiency, need to carry on the effective classification, so that the preset storage of spare parts.
38640 针对备件种类多、时效性强、影响分类因素复杂的现实问题,提出了基于改进的局部保持投影的备件分类方法。 Spare parts for variety, strong timeliness, factors influencing the classification of complex practical problems, is proposed based on the improved local projection of spare parts classification method.
38641 首先,根据战时备件分类储备的影响因素,作为备件分类的特征指标,其次,利用改进的局部保持投影的降维方法对备件原始特征数据进行特征降维,得到低维特征向量。 First of all, according to the influence factors of spare parts classification reserve in wartime, as the characteristics of the spare parts classification index, second, dimension reduction method of using improved local keep projection characteristics of original spare parts feature data dimension reduction, from low dimensional feature vector.
38642 再利用支持向量机(support vector machine,SVM)的分类器对低维数据进行分类。 Using support vector machine (support vector machine, SVM) classifier to classify low dimensional data.
38643 并通过量子粒子群对SVM的核函数参数进行寻优,提升备件分类精度,得到满足备件分类准确率最优时的降维维数和分类器参数。 By the quantum particle swarm optimization kernel function parameters of the SVM, improve spare parts classification accuracy, satisfied the optimal dimension reduction of spare parts classification accuracy of dimension and parameters of classifier.
38644 最后,通过对演习装备备件分类的实例分析,验证了模型的可行性和合理性,并对比分析了其他分类方法,表明该方法能够较好地解决战时备件分类的问题。 Finally, through the analysis of the instance of exercise equipment spare parts classification, verify the feasibility and rationality of the model, and contrast analysis of the other classification methods, show that the method can well solve the problem of spare parts classification in wartime.
38645 随着隐身技术的发展,雷达目标的边缘绕射等逐渐取代镜面散射成为主要的散射源,因此基于几何绕射理论(geometric theory of diffraction,GTD)的散射中心模型对隐身目标电磁散射特性的描述要比衰减指数和模型更为精确。 With the development of stealth technology, the edge of the radar target diffraction and gradually replace the mirror becomes the primary scattering source, so based on the geometrical theory of diffraction (geometric and found of diffraction, GTD) scattering center model description of the electromagnetic scattering characteristics of stealth target than the attenuation index and model is more accurate.