target identification of radar 中文意思是什麼

target identification of radar 解釋
雷達目標識別
  • target : n 靶子，標的；目標；（嘲笑等的）對象；笑柄 （for）; （儲蓄，貿易等的）定額，指標；小羊的頸胸肉；...
  • identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
  • of : OF ＝Old French 古法語。
  • radar : n 〈美國〉【無線電】 〈radio detecting and ranging 之略〉 雷達，無線電探測器 （＝〈英國〉 radiolo...
  1. Abstract : a kind of target identification method is discussed by use of harmonic radar detecting technique

    文摘:研究了新興的諧波雷達目標識別方法。
  2. Target identification technique of radar networking based on multi - class fuzzy synthetical evaluation

    基於多級模糊綜合評判的雷達網目標識別技術
  3. Other objectives were met, including demonstrating the integration of the radar, launcher, fire control, communications and interceptor operations ; interceptor seeker characterization ( target identification ) ; discrimination and intercept of a non - separating liquid - fueled target ; and examining launch procedures and equipment

    其他達成的測試目標，包括演示了雷達、發射、火控、通訊和攔截操作、攔截器尋的、攔截器確認目標特徵的引導，等多系統的整合能力；區分和攔截未分離的液體燃料目標；並測試了發射系統諸元。
  4. In modern radar applications, the research about distribution of main scatterers on the target is very important for target modeling and identification

    雷達目標散射中心分佈的研究是雷達目標特性建模與識別工作的一個重要部分。
  5. In this paper, bayes method is studied under the background of radar information for target identification

    本文根據雷達情報判性應用背景，對bayes方法在該領域的應用進行了研究。
  6. The results show that bayes algorithm performs well in combining radar information for target identification because the need of prior probability is not too strict. but for bayes method, the robustness is not so well as that of d - s method

    結果表明， bayes方法對先驗信息的精確程度要求並不十分嚴格，能較好地解決雷達情報綜合問題，而d - s方法比bayes方法更具有穩健性，但是其收斂時間較長。
  7. The electromagnetic field theory and numerical calculation are the research basis of electromagnetic scattering problem, they have important applications in many aspects such as calculation of radar cross section ( rcs ), analysis of electromagnetic scattering characteristic of target, electronic countermeasures, stealth design and identification of target

    電磁場理論及數值計算是研究電磁散射問題的基礎，在目標雷達散射截面（ rcs ）計算、電磁散射特性分析、電子對抗、隱身設計及目標識別等方面都有重要的應用。
  8. 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。
  9. 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

    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。
  10. 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。
  11. Identification on target profiles of mmw radar based on wavelet neural network

    基於小波神經網路的毫米波雷達目標距離像識別
  12. The appearance of ais ( automatic identification system ) is a great reformation in vts. the fusion of ais information and radar information makes the target information more perfect and more reliable, and also helps to set up an intelligentized and wide - area vts system and shipping safety information system

    船舶自動識別系統（ ais ）的出現將引起vts技術的重大改革， ais信息與雷達信息的融合，使目標信息更完善、更可靠，將有助於建立智能化的寬水域的交通管理系統和船舶安全航行信息系統。
  13. 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

    研究了基於人工神經網路模型的雷達目標hrrp識別方法。 bp人工神經網路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;小波神經網路針對bp網路的不足，將bp網路和小波變換相結合，在網路收斂、網路初始化方面彌補了bp網路的部分缺陷，其識別性能和抗噪性能與bp網路相比有所提高。
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