本文選題：調(diào)制方式識別 + 脈沖描述字��； 參考：《電子科技大學(xué)》2017年碩士論文

【摘要】：對雷達(dá)信號進(jìn)行脈內(nèi)分析和目標(biāo)檢測是雷達(dá)系統(tǒng)的兩個重要功能,同時也是其后續(xù)信號分析處理工作的技術(shù)基礎(chǔ)。為進(jìn)一步提升雷達(dá)系統(tǒng)的性能,降低雷達(dá)信號后續(xù)分析處理的難度,論文開展了基于雷達(dá)信號的脈內(nèi)分析及目標(biāo)檢測技術(shù)研究,在有效識別雷達(dá)信號調(diào)制方式的基礎(chǔ)上,著重研究了脈沖描述字中到達(dá)時間和載頻的估計(jì)問題,詳細(xì)設(shè)計(jì)了脈內(nèi)分析和目標(biāo)檢測的實(shí)現(xiàn)流程,以研制的雷達(dá)信號接收機(jī)處理系統(tǒng)軟件為依托充分進(jìn)行了仿真實(shí)驗(yàn)分析。論文的主要研究成果和結(jié)論如下:1.研究了雷達(dá)信號調(diào)制方式識別的問題。在分析了調(diào)頻FM信號中的LFM信號和NLFM信號與相位編碼PSK信號中的BPSK信號和QPSK信號的基礎(chǔ)上,采用基于信號3dB帶寬的方法實(shí)現(xiàn)對FM和PSK兩類信號的區(qū)分,提出采用基于小波脊線的方法分別實(shí)現(xiàn)這兩類信號的類內(nèi)細(xì)分。仿真實(shí)驗(yàn)表明,當(dāng)信噪比SNR大于3dB時,FM信號和PSK信號的類間識別正確率達(dá)到90%以上;當(dāng)SNR大于0dB時,FM信號類內(nèi)細(xì)分的正確率和PSK信號類內(nèi)細(xì)分的正確率都穩(wěn)定在100%。2.重點(diǎn)研究了脈沖達(dá)到時間和載頻等雷達(dá)信號脈內(nèi)參數(shù)的估計(jì)問題。針對脈沖到達(dá)時間,提出了一種基于三角小波的高精度估計(jì)方法,該方法同時適用于常規(guī)矩形包絡(luò)信號、LFM信號和PSK信號,仿真結(jié)果表明該方法相對于參考小波對脈沖到達(dá)時間的估計(jì)精度提高了至少20%以上。針對LFM信號的載頻估計(jì)問題,提出了一種DPT+FRFT二維插值算法,仿真結(jié)果表明該算法在縮短50%計(jì)算時長的情況下依然保持了較小的相對誤差;針對PSK信號的載頻提出了一種基于小波脊線結(jié)合自適應(yīng)MAT的估計(jì)方法,仿真結(jié)果表明當(dāng)SNR在4d B左右時該算法的載頻相對誤差可達(dá)到60ppm以下。3.在調(diào)制方式識別和脈內(nèi)參數(shù)估計(jì)研究的基礎(chǔ)上,開展了基于外輻射源雷達(dá)信號的脈內(nèi)分析和目標(biāo)檢測的技術(shù)開發(fā)和仿真實(shí)驗(yàn)。實(shí)現(xiàn)了外輻射源雷達(dá)信號接收機(jī)系統(tǒng)的總體設(shè)計(jì),詳細(xì)設(shè)計(jì)了脈內(nèi)分析子系統(tǒng)和目標(biāo)檢測子系統(tǒng)的實(shí)現(xiàn)流程,編制了外輻射源信號處理接收機(jī)系統(tǒng)仿真軟件,并進(jìn)行了各種仿真實(shí)驗(yàn)。結(jié)果顯示脈內(nèi)分析子系統(tǒng)和目標(biāo)檢測子系統(tǒng)都達(dá)到了預(yù)期的目標(biāo),符合工程應(yīng)用要求,最終實(shí)現(xiàn)了對目標(biāo)的精確檢測,表明了所提出的方法和系統(tǒng)方案是合理的,具有較高的工程應(yīng)用價值。
[Abstract]:The in-pulse analysis and target detection of radar signal are two important functions of radar system, and are also the technical basis of its subsequent signal analysis and processing. In order to further improve the performance of radar system and reduce the difficulty of subsequent analysis and processing of radar signal, the research of in-pulse analysis and target detection technology based on radar signal is carried out in this paper, and the modulation mode of radar signal is recognized effectively. In this paper, the estimation of arrival time and carrier frequency in pulse descriptor is studied, and the realization flow of intra pulse analysis and target detection is designed in detail. Based on the developed software of radar signal receiver processing system, the simulation experiment is carried out. The main research results and conclusions are as follows: 1. The problem of radar signal modulation recognition is studied. Based on the analysis of LFM signal and NLFM signal in FM signal and BPSK signal and QPSK signal in phase-coded PSK signal, the method based on 3dB bandwidth is used to distinguish FM and PSK signals. A method based on wavelet ridge is proposed to realize the subdivision of the two kinds of signals. The simulation results show that the inter-class recognition accuracy of FM signal and PSK signal is more than 90% when SNR is greater than 3dB, and the accuracy rate of intra-class subdivision of FM signal and subdivision of PSK signal is stable at 100 / 02 when SNR is greater than 0 dB. The estimation of the pulse parameters of radar signals, such as pulse arrival time and carrier frequency, is studied in detail. A high precision estimation method based on triangular wavelet is proposed for pulse arrival time. This method is suitable for both LFM and PSK signals of conventional rectangular envelope signals. The simulation results show that the accuracy of the proposed method is more than 20% higher than that of the reference wavelet. Aiming at the carrier frequency estimation problem of LFM signal, a DPT FRFT two-dimensional interpolation algorithm is proposed. The simulation results show that the algorithm still keeps a relatively small relative error while shortening the computing time by 50%. A method based on wavelet ridge and adaptive mat is proposed to estimate the carrier frequency of PSK signal. The simulation results show that the carrier frequency relative error of the algorithm can reach less than .3when the SNR is about 4dB. Based on the research of modulation mode identification and intra-pulse parameter estimation, the technology development and simulation experiment of in-pulse analysis and target detection based on external emitter radar signal are carried out. The overall design of the external emitter radar signal receiver system is realized, the implementation flow of the intra pulse analysis subsystem and the target detection subsystem is designed in detail, and the simulation software of the external emitter signal processing receiver system is developed. Various simulation experiments are carried out. The results show that both the intra pulse analysis subsystem and the target detection subsystem have achieved the expected goal, which meet the requirements of engineering application. Finally, the accurate detection of the target has been realized, which shows that the proposed method and the system scheme are reasonable. It has high engineering application value.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN957.51

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王曙光;王旭東;鄭步生;;一種FSK/BPSK復(fù)合調(diào)制雷達(dá)脈沖信號識別技術(shù)[J];電子科技;2016年10期

2 黃淼;王劉濤;張海朝;;基于Gabor小波變換與K-L高斯黎曼流形判別的人臉識別[J];計(jì)算機(jī)工程;2016年09期

3 王培培;徐才宏;;瞬時頻率雷達(dá)信號脈內(nèi)調(diào)制識別技術(shù)[J];現(xiàn)代電子技術(shù);2016年13期

4 劉歌;張國毅;汪洪艷;;基于特征融合的雷達(dá)信號脈內(nèi)調(diào)制類型識別[J];航天電子對抗;2016年03期

5 陳唯實(shí);;基于時域特性的非相參雷達(dá)目標(biāo)檢測與跟蹤[J];系統(tǒng)工程與電子技術(shù);2016年08期

6 燕天;洪飛;鄒金龍;馬捷;;基于短時傅里葉變換與相關(guān)解調(diào)的參數(shù)估計(jì)算法[J];探測與控制學(xué)報;2016年02期

7 王鵬;邱天爽;李景春;譚海峰;;基于高斯加權(quán)分?jǐn)?shù)階傅里葉變換的LFM信號參數(shù)估計(jì)[J];通信學(xué)報;2016年04期

8 黎聰;李煒;;基于Morlet小波變換的自適應(yīng)小波脊線提取算法[J];計(jì)算機(jī)工程;2016年04期

9 胡國兵;徐立中;吳珊珊;高燕;王書旺;;基于循環(huán)平穩(wěn)分析的LFM信號盲處理結(jié)果可靠性評估[J];電子學(xué)報;2016年04期

10 李霄;徐才宏;;時頻空交疊信號的脈內(nèi)調(diào)制類型識別算法[J];艦船電子對抗;2016年01期

相關(guān)博士學(xué)位論文 前2條

1 龐存鎖;高速、加速運(yùn)動目標(biāo)檢測及雷達(dá)目標(biāo)微動特征提取算法研究[D];北京理工大學(xué);2014年

2 胡國兵;雷達(dá)信號調(diào)制識別相關(guān)技術(shù)研究[D];南京航空航天大學(xué);2011年

相關(guān)碩士學(xué)位論文 前6條

1 呂曉輝;低截獲概率信號的盲檢測與參數(shù)估計(jì)[D];電子科技大學(xué);2015年

2 李娜;雷達(dá)信號有意調(diào)制分析及指紋特征提取[D];哈爾濱工程大學(xué);2013年

3 黃聰;強(qiáng)相干干擾抑制技術(shù)研究[D];哈爾濱工程大學(xué);2012年

4 何國強(qiáng);基于外輻射源信號的雷達(dá)目標(biāo)探測技術(shù)研究[D];南京理工大學(xué);2009年

5 金晶;基于電視信號的外輻射源雷達(dá)的直達(dá)波抑制技術(shù)[D];南京理工大學(xué);2008年

6 胡中貴;基于調(diào)頻廣播信號的無源雷達(dá)部分關(guān)鍵技術(shù)的研究[D];南京理工大學(xué);2004年

，

本文編號：2019902