雷達目標分類 的英文怎麼說

中文拼音 [léibiāofēnlèi]
雷達目標分類 英文
classification of radar targets
  • : 1. (雲層放電時發出的響聲) thunder 2. (軍事上用的爆炸武器) mine 3. (姓氏) a surname
  • : Ⅰ動詞1 (暢通) extend 2 (達到) reach; attain; amount to 3 (通曉; 明白) understand thoroughly...
  • : Ⅰ名詞1 (眼睛) eye 2 (大項中再分的小項) item 3 [生物學] (把同一綱的生物按彼此相似的特徵分為幾...
  • : Ⅰ名詞1 [書面語] (樹梢) treetop; the tip of a tree2 (枝節或表面) symptom; outside appearance; ...
  • : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
  • : Ⅰ名1 (許多相似或相同的事物的綜合; 種類) class; category; kind; type 2 (姓氏) a surname Ⅱ動詞...
  • 雷達 : [訊] radar (縮自 radio detection and ranging)
  • 目標 : 1. (對象) target; objective 2. (目的) goal; aim; destination
  1. Aiming at the self - estimation of threat to the sam system, and basing on the analysis of support distance of the target acquisition radar and operation efficiency of the system in three intercept sections, a distance - threat index and a type - threat index of the target are proposed, and a threat - estimation decision - making model is established, and a standard of fire - striking order in each section is put forward

    摘要針對地空導彈系統的威脅自動判斷問題,基於對指示保障距離以及三種攔截區間中系統作戰效能的析,提出了距離威脅指數和型威脅指數的概念,進而建立了一種連續型的威脅判斷決策模型,並給出了每個區間火力打擊的排序準。
  2. With the development of sar ( synthetic aperture radar ) technology, a large amount of images are made by space - borne and airborne sar, it ' s important to use atr technology in sar images analysis and advance the level of target recognition of high - resolution radar

    合成孔徑( sar )技術不斷發展,星載與機載sar成像數量極大,在sar圖像析中應用atr技術,加強對高解析度圖像的識別具有重要價值。
  3. These parameters are the bases of terrain classification and target detection and recognition. therefore, terrain surface vegetation parameters inversion using polinsar data has been hot research topics in polarimetric interferometry in recent years

    地表參數的提取為地表及進一步識別奠定了基礎,因此用極化干涉數據提取地表植被參數是當前極化干涉研究的熱點問題。
  4. Wake vortex separation standards are used to prevent hazardous wake vortex encounters which mainly found in the final approach course within the airport termination zone. firstly, this paper analysis the mechanism of the vortex decay and research the influence on the safety of the flight ; then. several different radar wake vortex separation standards are compared and some basic guidelines are developed to establish the future vortex standards. in addition, one kind of advance vortex classification for the civil airplane is proposed. secondly, an encounter hazard model which established for the following aircraft and a simple vortex decay model which mostly concern with the proceeding one are developed ; and a safe separation model can be derived from the both. finally, through the simulation calculation, the correctness of the vortex classification of different types of aircrafts are tested and proved

    本課題對管制條件下的最小尾流間隔準進行了較為詳細的析和研究;首先對尾流的形成和消散機理以及尾流對飛行安全的影響做出了詳細的析,然後就前實行的幾種不同的最小尾流間隔準進行了比較和析,提出了相關的幾條準則和一種改進的機型尾流準;在這之後,採用理論析和統計數據析相結合的方法,建立了尾流危險遭遇基本模型和尾渦消散模型;並在此基礎上對民用航空不同機型的尾流的合理性進行了計算和評估,為最小尾流間隔準的確定和改進提供了初步的理論依據。
  5. Netradar system is an important research subject in the area of internet security. it ' s aim is to detect the foundational terminals of and the route to a certain aimed intranet ; to scan the softwares that run on the terminals ; to find the services which are provided by the terminals ; to determine the vulnerabilities of the services and the distribution of the vulnerabilities. ater all the above have fmished, the netrada system attacks the vital terminals or the vulnerable terminals and controls them automatically

    網路系統( netradar )是網路安全領域的一個研究課題,該課題的研究包括三個方面:探測接入internet的特定網路的基礎設施、到網路的路徑;掃描支撐網路運行的軟體實體的型、提供的服務、探測出其軟體實體的漏洞和脆弱點佈等信息;根據網路的基礎設施構架、拓撲信息、漏洞和脆弱點佈等信息,有針性對的選取關鍵設備或者防護較弱的設備進行攻擊與控制。
  6. Some valuable conclusions are summarized by theoretical analysis and simulation experiments : from the side of signal processing, pulse jamming can be deleted by the method of time - domain sliding window accumulation and can be restored by interpolative prediction. ; gauss white nose can be attenuated while jamming disperse point - target by the method of time - frequency analysis in time - frequency domain. ; radio frequency noise jamming can be deleted by the method of average range frequency spectrum and notching in frequency domain

    通過大量的理論析和模擬實驗,得到了一批具有一定價值的結論:從信號處理的角度出發,對于脈沖式干擾,能夠運用時域滑動窗口積累的方法去掉,並且通過預測插值得到較好的恢復;對于高斯白噪聲干擾,在時頻變換域內應用時頻析方法可減小其對散點的干擾;對于射頻噪聲,通過平均距離頻頻法和頻域陷波的方法可以去掉;從改變合成孔徑系統角度出發,似雙基地能夠避免各種干擾,對發射信號進行調幅,調相以及改變調頻斜率都是較好的抗干擾方法。
  7. A new radar target classification method based on high order statistics

    雷達目標分類新演算法
  8. X - band ground based radar ( gbr ) plays an important role in national missile defense ( nmd ) system, it has many important functions such as middle stage surveillance and interception, trajectory prediction, target identifying and classifying. it has important significance to analyze and study gbr system, not only for ballistic missile ’ attack and defense research, but also for our national space surveillance and ballistic missile defense system development

    X波段地基( gbr )是美國國家導彈防禦系統中段防禦和攔截系統中最主要和最有效的精確跟蹤和識別傳感器之一,它負責中段監視和截獲、預測彈道和實測彈道的精度、識別和等重要功能,對gbr的系統析和模擬研究,探究其工作機理和識別手段,不但對于研究彈道導彈的有效突防措施和攻防對抗有著重要意義,對于發展我國自己的空間監測和彈道導彈防禦系統也有著重要的參考價值。
  9. In this dissertation, base on the review and analysis of current mainstream algorithms and techniques, we build up whole rtr system, and study some efficient recognition methods for different radar characters. the major research work and contributions in this dissertation are summarized as below : 1. summarized current popular pattern recognition methods, this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier, multi - layer perceptron and rbfn ( radial basis function network )

    本文在總結當前主流識別演算法的基礎上,建立起基於gbr的識別系統,並且對彈道導彈的各種特識別方法進行了研究,主要進行的工作和創新有: 1 .研究和總結了當前常用的識別方法,針對識別的特點,對近鄰器、多層感知器和徑向基函數網路( rbfn )器的演算法和性能進行了研究。
  10. Experimental results show that these three classifiers can get high recognition rate. they are simple, efficient, nonlinear and suitable for rtr. 2

    模擬結果顯示這三器適合應用於識別,且具有很高的識別率,是一簡單、高效的非線性器。
  11. Modified nearest feature classifiers and their application in radar target recognition

    修正最近特徵器及其在識別中的應用
  12. Because the convention air defense radar influences by its inherent performance, its airplane goal automatic sorting and the recognition always is very difficulty in the target identification research area

    常規防空由於受固有性能等影響,其飛機自動與識別一直是識別研究領域的難點。
  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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