本文選題：雷達(dá)偵察 + LPI信號(hào)�。� 參考：《吉林大學(xué)》2016年博士論文

【摘要】：在現(xiàn)代電子戰(zhàn)中,通過雷達(dá)偵察精確地獲取敵方雷達(dá)的戰(zhàn)術(shù)技術(shù)參數(shù)是進(jìn)行干擾和打擊的前提。低截獲概率(LPI)雷達(dá)的出現(xiàn)給雷達(dá)偵察信號(hào)的截獲和分析處理帶來了新的挑戰(zhàn),有效地截獲LPI雷達(dá)信號(hào)并準(zhǔn)確分析其脈內(nèi)特征成為當(dāng)前雷達(dá)偵察的核心問題。受制于研制時(shí)期的技術(shù)限制,我軍現(xiàn)役雷達(dá)偵察裝備無法有效截獲分析LPI雷達(dá)信號(hào)。為此,論文以實(shí)際科研項(xiàng)目為依托,針對(duì)LPI雷達(dá)信號(hào)的截獲與脈內(nèi)特征分析的關(guān)鍵技術(shù)開展了深入研究。對(duì)LPI雷達(dá)的有效截獲是實(shí)施LPI雷達(dá)信號(hào)特征分析的基礎(chǔ),而現(xiàn)代LPI雷達(dá)普遍采用極化調(diào)制技術(shù)。首先,針對(duì)傳統(tǒng)單極化偵察參數(shù)測(cè)量準(zhǔn)確性不高的問題,提出了雷達(dá)偵察全極化接收技術(shù),給出了全極化接收機(jī)的實(shí)現(xiàn)方案。其次,為解決民用通信信號(hào)對(duì)雷達(dá)偵察設(shè)備的影響問題,提出了一種基于極化濾波的民用通信信號(hào)抑制方法,該方法依據(jù)雷達(dá)偵察信號(hào)與民用通信信號(hào)的極化差異,在極化域?yàn)V除民用通信信號(hào),提取出雷達(dá)偵察信號(hào),理論分析和仿真實(shí)驗(yàn)均驗(yàn)證了該方法的有效性。針對(duì)低信噪比下LPI雷達(dá)信號(hào)脈內(nèi)調(diào)制類型識(shí)別準(zhǔn)確性不高的問題,提出了一種基于層次決策的脈內(nèi)調(diào)制類型自動(dòng)識(shí)別算法。該算法首先利用截獲信號(hào)的時(shí)寬帶寬積識(shí)別非調(diào)制信號(hào),然后基于相位差分和改進(jìn)短時(shí)傅里葉變換(STFT)提取特征參數(shù),最后依據(jù)各調(diào)制類型的不同特性采用層次決策方法實(shí)現(xiàn)調(diào)制類型識(shí)別。仿真實(shí)驗(yàn)結(jié)果表明,該識(shí)別算法的分類特征明顯,識(shí)別類型完整,抗噪性強(qiáng),具有較高的工程應(yīng)用價(jià)值。在頻率調(diào)制信號(hào)參數(shù)估計(jì)的研究中,針對(duì)低信噪比下正弦調(diào)頻連續(xù)波信號(hào)的參數(shù)估計(jì)問題,提出了基于信號(hào)自相關(guān)和重排累積譜圖的調(diào)制參數(shù)估計(jì)方法,提高了低信噪比下正弦調(diào)頻連續(xù)波信號(hào)的參數(shù)估計(jì)性能。針對(duì)頻率編碼信號(hào)的參數(shù)估計(jì)問題,首先引入多尺度路徑追蹤算法自適應(yīng)地完成信號(hào)的調(diào)制參數(shù)估計(jì),該方法具有較高的估計(jì)精度,然后提出利用小波變換和平滑功率譜進(jìn)行部分參數(shù)預(yù)估,降低多尺度路徑追蹤算法的計(jì)算復(fù)雜度。仿真結(jié)果表明,相比其它方法,本文提出的兩種頻率調(diào)制信號(hào)參數(shù)估計(jì)方法均具有較高的估計(jì)性能。在多相編碼信號(hào)參數(shù)估計(jì)與類型識(shí)別的研究中,針對(duì)多相編碼信號(hào)在低信噪比下估計(jì)性能不佳的問題,提出了基于二次相位函數(shù)(QPF)和分?jǐn)?shù)階傅里葉變換(Fr FT)的多相編碼信號(hào)參數(shù)估計(jì)方法。仿真實(shí)驗(yàn)結(jié)果表明,該方法能夠同時(shí)累積信號(hào)的多條時(shí)頻脊線,較好地解決了低信噪比下的多相編碼信號(hào)參數(shù)估計(jì)的問題,且參數(shù)估計(jì)性不受制于編碼類型。其次,針對(duì)目前多相編碼信號(hào)調(diào)制類型識(shí)別準(zhǔn)確率低的問題,提出了基于多特征融合支持向量機(jī)(SVM)的調(diào)制類型識(shí)別方法,實(shí)現(xiàn)了多相編碼信號(hào)調(diào)制類型的高準(zhǔn)確率識(shí)別。
[Abstract]:In modern electronic warfare, accurate acquisition of tactical and technical parameters of enemy radar by radar reconnaissance is the prerequisite for jamming and striking. The emergence of low probability of interception (LPI) radar brings a new challenge to the interception and analysis of radar reconnaissance signal. It is the core problem of current radar reconnaissance to intercept LPI radar signal effectively and accurately analyze its in-pulse characteristics. Limited by the technical constraints during the development period, our active radar reconnaissance equipment can not effectively intercept and analyze LPI radar signals. Therefore, based on the actual scientific research projects, the key technologies of LPI radar signal interception and intra pulse feature analysis are studied in this paper. The effective interception of LPI radar is the basis of signal characteristic analysis of LPI radar, and polarization modulation technology is widely used in modern LPI radar. Firstly, aiming at the problem that the accuracy of the traditional single polarization reconnaissance parameter measurement is not high, a radar reconnaissance full polarization receiver technology is proposed, and the realization scheme of the full polarization receiver is given. Secondly, in order to solve the problem of the influence of civil communication signal on radar reconnaissance equipment, a method of civil communication signal suppression based on polarization filtering is proposed, which is based on the polarization difference between radar reconnaissance signal and civil communication signal. The radar reconnaissance signal is extracted by filtering the civil communication signal in polarization domain. The effectiveness of the method is verified by theoretical analysis and simulation experiments. Aiming at the low SNR of LPI radar signal the accuracy of intra-pulse modulation type recognition is not high. A hierarchical decision based automatic recognition algorithm for intra-pulse modulation type is proposed. Firstly, the unmodulated signal is identified by the time-wideband wide product of the intercepted signal, and then the characteristic parameters are extracted based on the phase difference division and the improved STFT-based short time Fourier transform (STFT). Finally, according to the different characteristics of each modulation type, the hierarchical decision method is used to realize modulation type recognition. The simulation results show that the classification feature of the algorithm is obvious, the recognition type is complete, the noise resistance is strong, and the algorithm has high engineering application value. In the research of frequency modulation signal parameter estimation, a modulation parameter estimation method based on autocorrelation and rearrangement cumulant spectrum is proposed to estimate the parameters of sinusoidal frequency modulated continuous wave signal under low SNR. The parameter estimation performance of sinusoidal FM continuous wave signal with low SNR is improved. To solve the parameter estimation problem of frequency-coded signal, a multi-scale path tracing algorithm is introduced to estimate the modulation parameters of the signal adaptively. The proposed method has a high estimation accuracy. Then wavelet transform and smoothing power spectrum are used to estimate some parameters to reduce the computational complexity of multi-scale path tracing algorithm. The simulation results show that the two methods proposed in this paper have higher estimation performance than other methods. In the research of parameter estimation and type recognition of multiphase coded signal, the problem of poor estimation performance of multiphase coded signal under low SNR is discussed. A method for parameter estimation of multiphase coded signals based on quadratic phase function (QPF) and fractional Fourier transform (Fr FT) is proposed. The simulation results show that the proposed method can accumulate multiple time-frequency ridges at the same time and solve the problem of parameter estimation of polyphase coded signals at low SNR, and the estimation of parameters is not restricted by coding type. Secondly, aiming at the problem of low accuracy of modulation type recognition of polyphase coded signals, a modulation type recognition method based on multi-feature fusion support vector machine (SVM) is proposed, which realizes the high accuracy recognition of modulation types of multi-phase coded signals.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN957.51

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