本文關(guān)鍵詞： 干擾抑制 線性調(diào)頻雷達(dá) 噪聲調(diào)幅干擾 轉(zhuǎn)發(fā)式密集假目標(biāo)干擾 靈巧噪聲干擾 參數(shù)估計(jì)　出處：《中國(guó)科學(xué)技術(shù)大學(xué)》2017年博士論文　論文類型：學(xué)位論文

【摘要】：雷達(dá)干擾抑制技術(shù)一直是雷達(dá)信號(hào)處理領(lǐng)域最為重要的研究方向之一,雷達(dá)系統(tǒng)必須在復(fù)雜的電磁干擾環(huán)境中,依然能保持正常運(yùn)轉(zhuǎn),才能在實(shí)際電子對(duì)抗中贏得優(yōu)勢(shì)。然而,隨著高速數(shù)字電路技術(shù)的快速發(fā)展,雷達(dá)系統(tǒng)所面臨的電磁干擾環(huán)境日益惡劣。傳統(tǒng)的壓制式干擾依然在發(fā)揮作用,基于數(shù)字射頻存儲(chǔ)器技術(shù)和直接數(shù)字合成技術(shù)的欺騙性干擾又給現(xiàn)代雷達(dá)系統(tǒng)帶來(lái)了新的挑戰(zhàn),一些新型的、更加復(fù)雜的干擾樣式更是不斷涌現(xiàn)。因此,如何增強(qiáng)雷達(dá)系統(tǒng)抗有源干擾的能力,受到廣泛的研究和關(guān)注。本文基于線性調(diào)頻體制的雷達(dá)系統(tǒng),圍繞典型的有源干擾樣式,對(duì)干擾抑制技術(shù)展開(kāi)了深入分析和研究。重點(diǎn)研究了噪聲調(diào)幅干擾、轉(zhuǎn)發(fā)式密集假目標(biāo)和卷積式靈巧噪聲干擾的抑制方法和實(shí)現(xiàn)算法,主要的工作和貢獻(xiàn)有:1)噪聲調(diào)幅干擾的抑制提出了一種基于最大似然的自適應(yīng)迭代參數(shù)估計(jì)方法,并通過(guò)頻域?qū)ο椒ㄒ种聘蓴_。針對(duì)噪聲調(diào)幅干擾的數(shù)學(xué)模型,研究了其似然函數(shù)的特點(diǎn),給出了一種基于修正傅立葉系數(shù)插值的參數(shù)粗估計(jì)方法,理論分析了該方法的參數(shù)估計(jì)性能以及參數(shù)估計(jì)的克拉美羅下界;設(shè)計(jì)了噪聲功率比的估計(jì)方法,進(jìn)而提出了基于最大似然準(zhǔn)則和梯度下降策略的參數(shù)精估計(jì)迭代算法,并通過(guò)理論分析得到了迭代的收斂條件。仿真實(shí)驗(yàn)表明,所提方法的參數(shù)估計(jì)均方誤差漸進(jìn)無(wú)偏逼近克拉美羅下界,優(yōu)于已有的其它方法,噪聲調(diào)幅干擾的抑制效果明顯增強(qiáng)。2)轉(zhuǎn)發(fā)式密集假目標(biāo)干擾的抑制針對(duì)完全轉(zhuǎn)發(fā)干擾樣式,分析了實(shí)際數(shù)據(jù)中干擾的特點(diǎn),建立了干擾的數(shù)學(xué)模型;針對(duì)模型中多分量線性調(diào)頻干擾時(shí)域部分混疊的特點(diǎn),提出了一種多步干擾消除的參數(shù)估計(jì)方法,分析了參數(shù)估計(jì)的克拉美羅下界;在此基礎(chǔ)上,通過(guò)干擾重構(gòu)和對(duì)消的方式來(lái)抑制干擾。仿真實(shí)驗(yàn)驗(yàn)證了所提算法參數(shù)估計(jì)的均方誤差逼近克拉美羅下界,實(shí)際數(shù)據(jù)的結(jié)果表明了所提干擾抑制方法的有效性及適用條件。針對(duì)部分轉(zhuǎn)發(fā)干擾樣式,總結(jié)了不同干擾樣式的共同特點(diǎn),建立了統(tǒng)一數(shù)學(xué)模型;針對(duì)模型中不同部分轉(zhuǎn)發(fā)分量拼接的特點(diǎn),提出了一種基于集合經(jīng)驗(yàn)?zāi)B(tài)分解的參數(shù)估計(jì)方法,并通過(guò)干擾重構(gòu)和對(duì)消的方式來(lái)抑制干擾。仿真結(jié)果顯示,所提方法的干擾抑制性能優(yōu)于其它已有方法。針對(duì)雷達(dá)在實(shí)際工作中會(huì)受到通信信號(hào)干擾的情況,分析了實(shí)際數(shù)據(jù)中無(wú)意通信干擾的特點(diǎn),對(duì)通信干擾進(jìn)行了建模,進(jìn)而提出了一種基于多維經(jīng)驗(yàn)?zāi)B(tài)分解的批處理方法,將干擾分解到不同的多維本征模態(tài)函數(shù)中進(jìn)行抑制。經(jīng)由仿真實(shí)驗(yàn),驗(yàn)證了該算法能夠有效抑制通信信號(hào)的干擾。3)卷積式靈巧噪聲干擾的抑制針對(duì)干擾與目標(biāo)回波移頻的不同,分析了卷積式靈巧干擾經(jīng)脈沖壓縮后調(diào)頻斜率、移頻以及峰值位置之間的關(guān)系,提出了一種基于污跡譜的方法,分辨出真實(shí)目標(biāo)回波。通過(guò)仿真實(shí)驗(yàn),驗(yàn)證了所提方法在干擾表現(xiàn)不同特征時(shí)的干擾抑制效果,且該方法的干擾抑制性能優(yōu)于其它已有方法。通過(guò)分析靈巧噪聲干擾各干擾分量時(shí)延相關(guān)性的特點(diǎn),提出了一種基于原子分解的方法,分離目標(biāo)回波和干擾。通過(guò)仿真實(shí)驗(yàn)結(jié)果,驗(yàn)證了所提方法的干擾抑制效果。
[Abstract]:Interference suppression techniques in the field of radar signal processing radar has been one of the most important research direction, radar system must be in the complex electromagnetic interference environment, can still maintain the normal operation, can win the advantage in actual electronic warfare. However, with the rapid development of high-speed digital circuit technology, electromagnetic interference environment of radar system in the face of increasingly bad. The traditional jamming is still in play, the deception jamming of digital radio frequency memory technology and direct digital synthesis technology based on the modern radar system to bring new challenges, some new, more complex interference patterns are emerging. Therefore, how to enhance the ability of anti active jamming radar system, widely the attention and research. In this paper, the radar system based on linear frequency modulation system, around the active interference pattern of the typical interference suppression technology The in-depth analysis and research. Focus on the noise amplitude modulation jamming suppression method, forward type dense false target and smart noise jamming and convolution algorithm, the main work and contributions are: 1) noise suppression jamming is proposed an estimation method of adaptive iterative parameters based on maximum likelihood, and through frequency domain cancellation interference suppression method. According to mathematical model of noise amplitude modulation jamming, the characteristic of the likelihood function, a parameter estimation method of coarse modified Fu Liye interpolation coefficients are given based on the theoretical analysis and the parameter estimation performance of Cramer Rao bound parameters of the estimation method; design method to estimate the noise power ratio, then put forward the maximum likelihood criterion and gradient parameters estimation method based iterative algorithm, and the convergence condition of iteration through theoretical analysis. Simulation results show that the The proposed method parameter estimation mean square error asymptotically unbiased approximation Cramer Rao lower bound, is better than other methods, the inhibitory effect of noise amplitude modulation jamming enhanced.2) transponder dense false target interference suppression for completely forward jamming, analyzes the disturbance characteristics of dry real data, establishes a mathematical model for interference; in the model of multi-component LFM interference in time domain aliasing characteristics, a method is proposed to estimate the elimination of multi step interference parameters, analysis of parameter estimation Cramer Rao bound; on this basis, and to eliminate the way to curb the interference reconstruction. Simulation results show the proposed algorithm for parameter estimation are square error approximation Cramer Rao lower bound, the results show the validity and the applicable conditions of the proposed interference suppression method. Aiming at the repeater jamming style, summarizes the different kind of interference The common characteristics, the establishment of a unified mathematical model; according to the characteristics of different parts of the mosaic model forwarding component, proposes a parameter estimation method based on Ensemble Empirical modedecomposition, and through the interference reconstruction and cancellation method to suppress the interference. The simulation results show that the performance is better than other existing methods of interference suppression of the proposed method for radar will be communication signal interference in the actual work, analyzes the characteristics of unintentional communication interference in real data, a model of communication interference, and then proposes a multi-dimensional batch processing method based on empirical mode decomposition, the interference suppression is decomposed into different multidimensional intrinsic mode function through. The simulation experiment proves that the algorithm of.3 interference can effectively inhibit communication signals) inhibit the convolution of smart noise jamming against interference and target echo frequency shift of different points Analysis of the convolution of the pulse compression of smart jamming frequency slope, the relationship between frequency shift and peak position, put forward a method based on spectral stain, distinguish the true target echo. Through simulation experiments, the method was verified by the interference performance of different features in the interference suppression effect and better performance than other existing methods of inhibiting interference and the method. Through the analysis of the characteristics of smart noise jamming the interference component correlation of delay, proposes a method based on atomic decomposition, separation of target echo and jamming. The simulation results validate the proposed method, the interference suppression effect.

【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN974

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