radar target identification中文是什么意思

• 雷达目标识别

• "radar"中文翻译    n. 〔美国〕【无线电】 〔radio detectin ...
• "target"中文翻译    n. 靶子，标的；目标；(嘲笑等的)对象；笑柄 (for ...
• "identification"中文翻译    n. 1.认出，识别，鉴定，验明(罪人正身等)。 2.【 ...
• "radar target identification point" 中文翻译 :    雷达轰炸目标标志点
• "target identification of radar" 中文翻译 :    雷达目标识别
• "target identification radar" 中文翻译 :    目标识别雷达
• "target identification" 中文翻译 :    目标标识; 目标识别
• "radar identification" 中文翻译 :    雷达识别
• "radar target" 中文翻译 :    雷达目标; 雷达物标
• "target radar" 中文翻译 :    目标跟踪雷达
• "long-range target identification" 中文翻译 :    远距离目标识别
• "space target identification beacon" 中文翻译 :    空间目标识别信标
• "target character identification" 中文翻译 :    目标特征识别
• "target characteristic identification" 中文翻译 :    目标特征识别
• "target identification beacon" 中文翻译 :    目标识别信标
• "target identification bomb" 中文翻译 :    目标标志炸弹; 目标识别炸弹
• "target identification equipment" 中文翻译 :    目标识别设备
• "target identification system" 中文翻译 :    目标标识系统; 目标识别系统
• "television target identification" 中文翻译 :    电视目标识别
• "ti target identification" 中文翻译 :    目标识别
• "x-ray target identification" 中文翻译 :    未判明目标的识别
• "aircraft identification radar" 中文翻译 :    机载识别雷达
• "radar blip identification" 中文翻译 :    雷达尖头脉冲信号标志
• "radar identification device" 中文翻译 :    雷达识别设备
• "radar identification point" 中文翻译 :    雷达轰炸标志点

• The automatic radar target identification system , which is one of the momentous components of present and future defensive weapon systems , is much accounted of almost all countries
  自动雷达目标识别作为一种自动目标识别技术,受到各国的广泛关注和重视,已成为各国未来武器的重要组成部分。
• The radar targets identification based on svm is studied in chapter 5 . with the balance of the empirical risk minimum and complication , the method has a better classification performance . the validity of these methods are verified by experiments on simulated data
  支持向量机方法在理论上摆脱了bp网络的缺陷,同时实现了经验风险和推广能力的折衷,实验结果证明了该方法的有效性。
• Two popular statistical - based techniques , namely , bayes and dempster - shafer methods are applied to develop radar target identification algorithms for our application . the performance of bayes method and d - s method is compared in convergence time and robustness
  运用两种普遍使刚的统计推断方法? bayes方法和d - s证据理论对以上空中目标进行识别，比较了它们的收敛时间和稳健性。
• The radar target identification based on artificial neural network is the protagonist of the chapter 4 . bp network and wavelet network are used to classified the emulational radar targets . with the powerful capability of non - linnear identification of bp neural network , its ’ born limitations such as local extremum , slow convergence etc . can be reformed by the wavelet network , which is a network with a wavelet function embedded into the node of a bp network
  研究了基于人工神经网络模型的雷达目标hrrp识别方法。 bp人工神经网络强大的非线性处理能力,在解决复杂目标分类识别时有优势;小波神经网络针对bp网络的不足,将bp网络和小波变换相结合,在网络收敛、网络初始化方面弥补了bp网络的部分缺陷,其识别性能和抗噪性能与bp网络相比有所提高。
• In the areas of radar stealth and anti - stealth technology research , radar target identification , complex antenna system design and modern electric systems ’ emc analysis , we often need to simulate the electromagnetic characteristics of some electric large objects which is composite of complex structure and complex medium
  在雷达目标隐身和反隐身技术研究、雷达目标特性识别、复杂天线系统设计、现代电子系统电磁兼容性分析等领域,经常需要对一些具有复杂结构和复杂媒质组成的三维电大尺寸目标作电磁建模。
• The range profile can be obtained by high range resolution ( hrr ) radar easily 。 there is much more information to recognize the targets contained in the range profile than in the radar cross section ( rcs ) 。 some methods of radar target identification are intensively and extensively studied in this dissertation 。 the main contents include : high resolution range profile of emulational radar targets is discussed in chapter 2 . characteristics of them are analysed also
  使用高距离分辨率雷达可获得目标的高分辨距离像,高分辨距离像包含了更多的可用于目标识别的信息。本文针对高分辨距离像,对多种雷达目标识别方法进行了研究和讨论。其主要内容如下:讨论了雷达目标高分辨距离像模型及其特点研究了小波变换特征提取和最近邻分类器相结合的识别方法。
• The radar targets identification based on feature extraction with wavelet transformation and nearest - distance classer is studied in chapter 3 . discrete orthogonal wavelet transformation and wavelet transformation based on beylkin algorithm are applied to the samples of the targets to test their performance . the former has a better antinoise performance and the latter has a better identification rate
  离散正交小波变换中提取的特征为信号的低频部分,在特征提取过程中已实现了消噪,具有较好的抗噪性能;而beylkin算法利用样本序列所有圆周移位的小波变换的高频部分,提取的信号特征虽具有移不变性,有较好的识别率,但抗噪性能较前者差。

• radar target identification перевод