本文選題：雷達偵察 + LPI信號　； 參考：《吉林大學》2016年博士論文

【摘要】：在現(xiàn)代電子戰(zhàn)中,通過雷達偵察精確地獲取敵方雷達的戰(zhàn)術技術參數(shù)是進行干擾和打擊的前提。低截獲概率(LPI)雷達的出現(xiàn)給雷達偵察信號的截獲和分析處理帶來了新的挑戰(zhàn),有效地截獲LPI雷達信號并準確分析其脈內特征成為當前雷達偵察的核心問題。受制于研制時期的技術限制,我軍現(xiàn)役雷達偵察裝備無法有效截獲分析LPI雷達信號。為此,論文以實際科研項目為依托,針對LPI雷達信號的截獲與脈內特征分析的關鍵技術開展了深入研究。對LPI雷達的有效截獲是實施LPI雷達信號特征分析的基礎,而現(xiàn)代LPI雷達普遍采用極化調制技術。首先,針對傳統(tǒng)單極化偵察參數(shù)測量準確性不高的問題,提出了雷達偵察全極化接收技術,給出了全極化接收機的實現(xiàn)方案。其次,為解決民用通信信號對雷達偵察設備的影響問題,提出了一種基于極化濾波的民用通信信號抑制方法,該方法依據雷達偵察信號與民用通信信號的極化差異,在極化域濾除民用通信信號,提取出雷達偵察信號,理論分析和仿真實驗均驗證了該方法的有效性。針對低信噪比下LPI雷達信號脈內調制類型識別準確性不高的問題,提出了一種基于層次決策的脈內調制類型自動識別算法。該算法首先利用截獲信號的時寬帶寬積識別非調制信號,然后基于相位差分和改進短時傅里葉變換(STFT)提取特征參數(shù),最后依據各調制類型的不同特性采用層次決策方法實現(xiàn)調制類型識別。仿真實驗結果表明,該識別算法的分類特征明顯,識別類型完整,抗噪性強,具有較高的工程應用價值。在頻率調制信號參數(shù)估計的研究中,針對低信噪比下正弦調頻連續(xù)波信號的參數(shù)估計問題,提出了基于信號自相關和重排累積譜圖的調制參數(shù)估計方法,提高了低信噪比下正弦調頻連續(xù)波信號的參數(shù)估計性能。針對頻率編碼信號的參數(shù)估計問題,首先引入多尺度路徑追蹤算法自適應地完成信號的調制參數(shù)估計,該方法具有較高的估計精度,然后提出利用小波變換和平滑功率譜進行部分參數(shù)預估,降低多尺度路徑追蹤算法的計算復雜度。仿真結果表明,相比其它方法,本文提出的兩種頻率調制信號參數(shù)估計方法均具有較高的估計性能。在多相編碼信號參數(shù)估計與類型識別的研究中,針對多相編碼信號在低信噪比下估計性能不佳的問題,提出了基于二次相位函數(shù)(QPF)和分數(shù)階傅里葉變換(Fr FT)的多相編碼信號參數(shù)估計方法。仿真實驗結果表明,該方法能夠同時累積信號的多條時頻脊線,較好地解決了低信噪比下的多相編碼信號參數(shù)估計的問題,且參數(shù)估計性不受制于編碼類型。其次,針對目前多相編碼信號調制類型識別準確率低的問題,提出了基于多特征融合支持向量機(SVM)的調制類型識別方法,實現(xiàn)了多相編碼信號調制類型的高準確率識別。
[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.
【學位授予單位】：吉林大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：TN957.51

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