本文關(guān)鍵詞：雷達(dá)目標(biāo)微動(dòng)參數(shù)估計(jì)技術(shù)研究　出處：《國防科學(xué)技術(shù)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 微動(dòng) 微多普勒 微距離 參數(shù)估計(jì) 循環(huán)相關(guān)系數(shù) 高階差值序列 分段平動(dòng)補(bǔ)償 時(shí)頻差值平方和序列

【摘要】：目標(biāo)微動(dòng)特征包含目標(biāo)特有的結(jié)構(gòu)信息、運(yùn)動(dòng)信息,可用作目標(biāo)識別的重要依據(jù),對目標(biāo)微動(dòng)特征的研究已成為雷達(dá)目標(biāo)探測與識別領(lǐng)域的一個(gè)新的技術(shù)熱點(diǎn)。本文重點(diǎn)研究平動(dòng)條件下微動(dòng)目標(biāo)對雷達(dá)回波的調(diào)制效應(yīng)及目標(biāo)微動(dòng)參數(shù)估計(jì)問題。針對目標(biāo)平動(dòng)與微動(dòng)的耦合特點(diǎn),提出三種微動(dòng)參數(shù)估計(jì)方法,實(shí)現(xiàn)了平動(dòng)條件下目標(biāo)的微動(dòng)參數(shù)估計(jì)。第一章介紹課題的研究背景及意義,概括目標(biāo)微動(dòng)的研究現(xiàn)狀,從微動(dòng)目標(biāo)雷達(dá)回波調(diào)制模型、雷達(dá)回波分量分離、微動(dòng)特征提取、平動(dòng)補(bǔ)償四個(gè)方面總結(jié)該領(lǐng)域的主要技術(shù)途徑。最后介紹本文研究工作和結(jié)構(gòu)安排。第二章重點(diǎn)分析平動(dòng)條件下雷達(dá)微動(dòng)目標(biāo)對回波的調(diào)制效應(yīng)。首先結(jié)合空間進(jìn)動(dòng)目標(biāo)的運(yùn)動(dòng)模型、散射中心模型和目標(biāo)散射強(qiáng)度的變化規(guī)律建立了目標(biāo)的寬窄帶雷達(dá)回波調(diào)制模型,在此基礎(chǔ)上深入分析平動(dòng)條件下微動(dòng)目標(biāo)雷達(dá)回波的功率調(diào)制特性、微多普勒調(diào)制特性、微距離調(diào)制特性、平動(dòng)的多普勒調(diào)制特性以及目標(biāo)平動(dòng)與微動(dòng)的耦合作用。第三章研究平動(dòng)條件下基于雷達(dá)窄帶、寬帶信號的目標(biāo)微動(dòng)參數(shù)估計(jì)方法。對于窄帶信號,首先推導(dǎo)了微多普勒信號的時(shí)頻分布的周期性,證明在平動(dòng)條件下回波時(shí)頻分布的周期性將演變?yōu)檠h(huán)周期性,在此基礎(chǔ)上引進(jìn)循環(huán)相關(guān)系數(shù)以刻畫時(shí)頻分布的循環(huán)周期性,進(jìn)而估計(jì)出微動(dòng)周期。對于寬帶信號,首先研究了目標(biāo)散射中心瞬時(shí)距離的提取方法,在此基礎(chǔ)上,提出基于高階差值序列的微動(dòng)周期估計(jì)方法�；谘h(huán)相關(guān)系數(shù)和基于高階差值序列的微動(dòng)周期估計(jì)方法實(shí)現(xiàn)了平動(dòng)條件下目標(biāo)的微動(dòng)參數(shù)估計(jì)。第四章研究復(fù)雜平動(dòng)條件下的微動(dòng)參數(shù)估計(jì)方法。針對目標(biāo)機(jī)動(dòng)等復(fù)雜平動(dòng),受數(shù)學(xué)中微元法的啟發(fā),提出基于分段平動(dòng)補(bǔ)償?shù)幕夭ㄆ絼?dòng)補(bǔ)償方法,最大限度地補(bǔ)償了目標(biāo)平動(dòng)。同時(shí)引進(jìn)一種基于擴(kuò)展數(shù)據(jù)的時(shí)頻計(jì)算方法,極大地抑制了時(shí)頻分布的邊緣效應(yīng),提高了瞬時(shí)頻率的估計(jì)精度。受具有平移不變性的差值算子的啟發(fā),提出基于時(shí)頻差值平方和序列的微動(dòng)頻率估計(jì)方法。時(shí)頻差值平方和序列能夠消除目標(biāo)殘余平動(dòng)的影響,同時(shí)避免了雷達(dá)回波分量的分離。分段平動(dòng)補(bǔ)償和時(shí)頻差值平方和序列的結(jié)合實(shí)現(xiàn)了復(fù)雜平動(dòng)條件下的目標(biāo)微動(dòng)參數(shù)估計(jì)。第五章總結(jié)了論文的主要工作和創(chuàng)新點(diǎn),指出需要進(jìn)一步研究的問題。
[Abstract]:Target micro motion feature contains structural information specific to target motion information, can be used as an important basis for the research of target recognition, target micro motion feature has become a new hotspot in the field of technology of radar target detection and recognition. Estimation of modulation effect on the radar echo of micro motion targets this paper focuses on the translational conditions and target motion parameter. According to the coupling characteristics of the target translation and motion estimation method is proposed, three kinds of micro parameters, the motion parameter estimation of target translational conditions. The first chapter introduces the research background and the significance of the topic, research status quo summary of micro motion target, from the micro target radar echo modulation model, separation of radar echo components, micro motion feature extraction, four summarize the main aspects of translational motion compensation technology in the field. Finally this research work arrangement and structure. The second chapter focuses on the analysis of translation conditions The modulation effect of the backscattered wave under the radar target. Firstly the motion model of micro space precession target, variation of scattering center model and target scattering intensity of targets is established the narrowband radar echo modulation model, on the basis of in-depth analysis of translation under the condition of target micro power modulation characteristics of the radar echoes, the modulation characteristics of micro micro Doppler. The distance modulation characteristic, translational Doppler modulation and the goal of translation and fretting coupling. Based on narrowband radar under the third chapter studies the translation conditions, estimate the target motion parameter of wideband signal. For narrowband signals, the frequency distribution of the first periodic micro Doppler signal is proved under the condition of echo in translational periodicity frequency distribution will evolve into the cycle, on the basis of the introduction of circular correlation coefficient in cycle frequency distribution characterization, and The estimated motion period. For broadband signals, firstly study the extraction method of target scattering center instantaneous distance, based on the proposed estimation method of fretting cycle based on high order difference sequence. Based on cyclic correlation coefficient and the method based on motion parameter estimation of target under the condition of translational motion period of high order difference sequences of estimation. Under the condition of complicated translational motion parameter estimation method. The fourth chapter according to the target maneuver complex translation, inspired by the infinitesimal method in mathematics, the echo of translational motion compensation method based on piecewise motion compensation, the maximum compensation target. Translation and introduction of a new calculation method of time-frequency expansion based on the data, greatly reduced the edge effect of time-frequency distribution, improve the estimation precision of instantaneous frequency. Inspired by the difference operator with translational invariance, is proposed based on the time-frequency plane difference Fretting frequency estimation method and sequence. When the frequency difference between square and sequence can eliminate the influence of target motion while avoiding the residual, separation of radar echo components. Combined with a piecewise translational motion compensation and time frequency difference square and sequence to achieve the target motion parameter estimation under complex conditions of translation. The fifth chapter summarizes the main work in this paper and innovation, points out the problems that need further study.

【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN957.51

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 魏少明;王俊;孫進(jìn)平;毛士藝;;彈道中段目標(biāo)平動(dòng)徑向速度估計(jì)的狀態(tài)空間方法[J];電子與信息學(xué)報(bào);2013年02期

2 羅迎;柏又青;張群;段艷麗;朱豐;;彈道目標(biāo)平動(dòng)補(bǔ)償與微多普勒特征提取方法[J];電子與信息學(xué)報(bào);2012年03期

3 楊有春;童寧寧;馮存前;賀澤維;賀思三;;彈道目標(biāo)中段平動(dòng)補(bǔ)償與微多普勒提取[J];宇航學(xué)報(bào);2011年10期

4 劉進(jìn);李金梁;馬梁;王雪松;王國玉;;基于TFD-Hough變換的毫米波導(dǎo)引頭微運(yùn)動(dòng)參數(shù)提取算法[J];系統(tǒng)工程與電子技術(shù);2010年03期

5 高紅衛(wèi);謝良貴;文樹梁;匡勇;;加速度對微多普勒的影響及其補(bǔ)償研究[J];宇航學(xué)報(bào);2009年02期

相關(guān)博士學(xué)位論文 前1條

1 陳行勇;微動(dòng)目標(biāo)雷達(dá)特征提取技術(shù)研究[D];國防科學(xué)技術(shù)大學(xué);2006年

，

本文編號：1413135