词语大全 radar target identification中文翻譯

Posted 2022-08-27 特征

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词语大全 radar target identification中文翻譯

The automatic radar target identification system , which is one of the momentous ponents of present and future defensive weapon systems , is much accounted of almost all countries
自動雷達目標識別作為一種自動目標識別技術,受到各國的廣泛關注和重視,已成為各國未來武器的重要組成部分。

The radar targets identification based on svm is studied in chapter 5 . with the balance of the empirical risk minimum and ppcation , the method has a better classification performance . the vapdity of these methods are verified by experiments on simulated data
支持向量機方法在理論上擺脫了bp網絡的缺陷,同時實現了經驗風險和推廣能力的折衷,實驗結果證明了該方法的有效性。

Two popular statistical - based techniques , namely , bayes and dempster - shafer methods are appped to develop radar target identification algorithms for our apppcation . the performance of bayes method and d - s method is pared in convergence time and robustness
運用兩種普遍使剛的統計推斷方法? bayes方法和d - s證據理論對以上空中目標進行識別，比較了它們的收斂時間和穩健性。

The radar target identification based on artificial neural work is the protagonist of the chapter 4 . bp work and wavelet work are used to classified the emulational radar targets . with the powerful capabipty of non - pnnear identification of bp neural work , its ’ born pmitations such as local extremum , slow convergence etc . can be reformed by the wavelet work , which is a work with a wavelet function embedded into the node of a bp work
研究了基于人工神經網絡模型的雷達目標hrrp識別方法。 bp人工神經網絡強大的非線性處理能力,在解決復雜目標分類識別時有優勢;小波神經網絡針對bp網絡的不足,將bp網絡和小波變換相結合,在網絡收斂、網絡初始化方面彌補了bp網絡的部分缺陷,其識別性能和抗噪性能與bp網絡相比有所提高。

In the areas of radar stealth and anti - stealth technology research , radar target identification , plex antenna system design and modern electric systems ’ emc analysis , we often need to simulate the electromagic characteristics of some electric large objects which is posite of plex structure and plex medium
在雷達目標隱身和反隱身技術研究、雷達目標特性識別、復雜天線系統設計、現代電子系統電磁兼容性分析等領域,經常需要對一些具有復雜結構和復雜媒質組成的三維電大尺寸目標作電磁建模。

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
使用高距離分辨率雷達可獲得目標的高分辨距離像,高分辨距離像包含了更多的可用于目標識別的信息。本文針對高分辨距離像,對多種雷達目標識別方法進行了研究和討論。其主要內容如下:討論了雷達目標高分辨距離像模型及其特點研究了小波變換特征提取和最近鄰分類器相結合的識別方法。

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 appped 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
離散正交小波變換中提取的特征為信號的低頻部分,在特征提取過程中已實現了消噪,具有較好的抗噪性能;而beylkin算法利用樣本序列所有圓周移位的小波變換的高頻部分,提取的信號特征雖具有移不變性,有較好的識別率,但抗噪性能較前者差。