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基于支持向量機(jī)的飛機(jī)運(yùn)動(dòng)模式識(shí)別研究

發(fā)布時(shí)間:2018-01-14 13:17

  本文關(guān)鍵詞:基于支持向量機(jī)的飛機(jī)運(yùn)動(dòng)模式識(shí)別研究 出處:《電子科技大學(xué)》2016年碩士論文 論文類(lèi)型:學(xué)位論文


  更多相關(guān)文章: 無(wú)源雷達(dá) 希爾伯特-黃變換 特征向量 支持向量機(jī)


【摘要】:在現(xiàn)今信息化戰(zhàn)爭(zhēng)中,利用一切探測(cè)感知手段探測(cè)出有用信息變得至關(guān)重要,信息越充足,對(duì)制定戰(zhàn)略越有幫助,越容易掌握戰(zhàn)爭(zhēng)中的主動(dòng)權(quán),并最終贏得勝利。由于電子干擾技術(shù)在現(xiàn)代化戰(zhàn)爭(zhēng)中也得到了廣泛應(yīng)用,因此如何對(duì)抗電子干擾,識(shí)別出電子干擾源,做出正確的應(yīng)對(duì)戰(zhàn)略具有重要意義。為了應(yīng)對(duì)敵方的電子干擾,需要對(duì)雷達(dá)信號(hào)處理相關(guān)技術(shù)進(jìn)行更深入的研究然后探索新的方法來(lái)解決問(wèn)題。無(wú)源雷達(dá)具有隱蔽性好、生存力強(qiáng)等優(yōu)點(diǎn),而目前基于無(wú)源雷達(dá)的目標(biāo)探測(cè)和定位都是根據(jù)多站點(diǎn)來(lái)解決的,本文為了探索新的方式來(lái)處理目標(biāo)識(shí)別問(wèn)題,研究單個(gè)地基無(wú)源雷達(dá)接收來(lái)自飛行過(guò)程中機(jī)載雷達(dá)發(fā)射的直達(dá)電磁波信號(hào),提出將時(shí)頻分析和支持向量機(jī)結(jié)合的方法來(lái)處理該信號(hào)以正確識(shí)別飛機(jī)運(yùn)動(dòng)模式。本文的研究?jī)?nèi)容只是對(duì)有源干擾的電子干擾機(jī)識(shí)別的一部分,作為理論研究,主要針對(duì)的是對(duì)遠(yuǎn)距離的、機(jī)載雷達(dá)為全向天線(xiàn)的飛機(jī)運(yùn)動(dòng)模式的識(shí)別,考慮了勻速直線(xiàn)運(yùn)動(dòng)、勻速圓周運(yùn)動(dòng)、勻速橢圓跑道運(yùn)動(dòng)和勻速8字形軌跡運(yùn)動(dòng)這四種運(yùn)動(dòng)模式。具體工作如下:(1)以勻速直線(xiàn)運(yùn)動(dòng)模式、勻速圓周運(yùn)動(dòng)模式、勻速橢圓跑道運(yùn)動(dòng)模式和勻速8字形軌跡運(yùn)動(dòng)模式這四種運(yùn)動(dòng)模式,根據(jù)雷達(dá)方程和實(shí)際飛機(jī)飛行速度、電磁波載頻、立體空間相對(duì)位置、噪聲等模擬雷達(dá)接收機(jī)接收信號(hào)。(2)在飛機(jī)飛行過(guò)程中,由于其相對(duì)于無(wú)源雷達(dá)接收站的徑向速度在時(shí)刻變化,所產(chǎn)生的多普勒頻移也會(huì)隨時(shí)間改變,以此為出發(fā)點(diǎn),采用對(duì)非平穩(wěn)信號(hào)具有良好分析效果的時(shí)頻分析方法:希爾伯特-黃變換(HHT),對(duì)接收機(jī)接收到的電磁信號(hào)進(jìn)行分析,研究不同運(yùn)動(dòng)模式下其多普勒頻率變化規(guī)律。(3)根據(jù)不同運(yùn)動(dòng)模式下多普勒頻率時(shí)頻譜特點(diǎn)及總體經(jīng)驗(yàn)?zāi)B(tài)分解(EEMD)的分解特性,提出以本征模函數(shù)的能量占比作為特征向量,然后采集多組樣本數(shù)據(jù),通過(guò)模式識(shí)別算法支持向量機(jī)(SVM)學(xué)習(xí)訓(xùn)練最后識(shí)別,判斷出飛機(jī)的運(yùn)動(dòng)模式屬于哪一種。本文最終通過(guò)單個(gè)地基無(wú)源雷達(dá)接收的來(lái)自飛行過(guò)程中機(jī)載雷達(dá)發(fā)射的直達(dá)電磁波信號(hào),結(jié)合時(shí)頻分析和支持向量機(jī)的方法完成了對(duì)勻速直線(xiàn)運(yùn)動(dòng)、勻速圓周運(yùn)動(dòng)、勻速橢圓跑道運(yùn)動(dòng)和勻速8字形軌跡運(yùn)動(dòng)的正確識(shí)別,識(shí)別率達(dá)86.25%,為電子干擾機(jī)的識(shí)別提供了新的思路。
[Abstract]:In today's information war, it is very important to detect useful information by all means of detection and perception. The more sufficient the information, the more helpful the strategy is and the easier it is to master the initiative in the war. Because the electronic jamming technology has been widely used in the modern war, how to resist the electronic interference and identify the electronic interference source. It is of great significance to make a correct response strategy. In order to deal with the electronic interference of the enemy. It is necessary to do more in-depth research on radar signal processing technology and explore new methods to solve the problem. Passive radar has the advantages of good concealment and strong survivability. At present, the target detection and localization based on passive radar is based on multi-site. In order to explore a new way to deal with the target recognition problem. A single ground-based passive radar is studied to receive direct electromagnetic wave signals from airborne radar during flight. A method combining time-frequency analysis with support vector machine is proposed to process the signal to correctly identify the aircraft motion pattern. The research content of this paper is only a part of the recognition of the active jamming electronic jamming machine as a theoretical study. The aim of this paper is to recognize the motion pattern of a long distance aircraft with an airborne radar as an omnidirectional antenna. The uniform linear motion and uniform circular motion are considered. The four motion modes of uniform speed elliptical runway motion and uniform velocity 8 zigzag trajectory motion. The specific work is as follows: 1) in the uniform speed straight line motion mode, the uniform speed circular motion pattern. According to the radar equation and the actual flight speed, electromagnetic wave carrier frequency and the relative position of three-dimensional space, the four motion modes of uniform speed elliptical runway and uniform velocity 8 zigzag trajectory are used. Noise and other analog radar receivers receive signal. 2) during the flight of aircraft, the Doppler frequency shift will change with time because of the change of radial velocity relative to the passive radar receiving station at the time. As a starting point, a time-frequency analysis method, Hilbert-Huang transform (HHT), is used to analyze the electromagnetic signals received by the receiver. The variation of Doppler frequency in different motion modes is studied. (3) according to the spectrum characteristics of Doppler frequency and the decomposition characteristics of EEMDs under different motion modes. Taking the energy ratio of intrinsic mode function as the eigenvector, and then collecting multiple sets of sample data, the final recognition is done by pattern recognition algorithm support vector machine (SVM) learning and training. Finally, the direct electromagnetic wave signal from airborne radar in flight is received through a single ground passive radar. Combined with time-frequency analysis and support vector machine, the correct recognition of uniform velocity linear motion, uniform circular motion, uniform speed elliptical runway motion and uniform velocity 8-shape track motion is completed. The recognition rate is up to 86.25%. It provides a new idea for the recognition of electronic jammer.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類(lèi)號(hào)】:TN974

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