本文關(guān)鍵詞：雷達(dá)組網(wǎng)信息融合及欺騙干擾技術(shù)研究　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 組網(wǎng)雷達(dá) 跟蹤濾波 數(shù)據(jù)融合 欺騙干擾

【摘要】：隨著新技術(shù)、新方法和新工藝不斷用于武器裝備,現(xiàn)代雷達(dá)在復(fù)雜作戰(zhàn)環(huán)境中的生存空間日益狹窄,雷達(dá)系統(tǒng)面臨著更多新的威脅。對不同參數(shù)的雷達(dá)進(jìn)行組網(wǎng),不僅提高了雷達(dá)系統(tǒng)的性能,而且擴(kuò)大了雷達(dá)系統(tǒng)的生存空間。與傳統(tǒng)的單雷達(dá)系統(tǒng)相比,雷達(dá)組網(wǎng)系統(tǒng)在預(yù)警、目標(biāo)檢測、目標(biāo)跟蹤和抗干擾等方面具有較好的性能。因此,雷達(dá)組網(wǎng)信息融合及其對抗技術(shù)是目前雷達(dá)信號處理和電子對抗領(lǐng)域的研究熱點。本文重點介紹雷達(dá)組網(wǎng)中的動目標(biāo)模型分類、數(shù)據(jù)的預(yù)處理、跟蹤濾波算法、關(guān)聯(lián)波門選擇和數(shù)據(jù)融合算法等,以提高組網(wǎng)雷達(dá)的探測效率。由于雷達(dá)組網(wǎng)系統(tǒng)日益廣泛應(yīng)用,目前對組網(wǎng)的干擾技術(shù)研究是電子對抗領(lǐng)域的重點研究方向。在組網(wǎng)雷達(dá)數(shù)據(jù)處理的研究基礎(chǔ)上,分析組網(wǎng)雷達(dá)數(shù)據(jù)處理算法中的薄弱環(huán)節(jié),建立了航跡欺騙干擾的概念和數(shù)學(xué)模型,研究了有效的假目標(biāo)欺騙方法和相應(yīng)的算法流程。解決在當(dāng)前復(fù)雜電子對抗環(huán)境下,如何對組網(wǎng)雷達(dá)產(chǎn)生穩(wěn)定的欺騙假航跡,誘使雷達(dá)組網(wǎng)系統(tǒng)做出誤判和錯誤決策從而保護(hù)真實目標(biāo)。本文的具體內(nèi)容安排如下:(1)詳細(xì)研究了目標(biāo)跟蹤濾波算法,并給出不同跟蹤濾波算法的性能對比分析。首先,建立不同運動條件下的目標(biāo)對應(yīng)的數(shù)學(xué)模型;其次,論述了組網(wǎng)雷達(dá)觀測數(shù)據(jù)預(yù)處理方法。在此基礎(chǔ)上,詳細(xì)給出了線性卡爾曼濾波算法、擴(kuò)展卡爾曼濾波算法和無損卡爾曼濾波算法等濾波方法的理論推導(dǎo)和仿真數(shù)據(jù)驗證結(jié)果。最后,對比分析了不同濾波算法的性能,為后續(xù)組網(wǎng)雷達(dá)觀測數(shù)據(jù)預(yù)處理、波門選擇和數(shù)據(jù)融合等工作建立理論基礎(chǔ)。(2)重點研究了組網(wǎng)雷達(dá)中的數(shù)據(jù)融合技術(shù),分析對比了不同數(shù)據(jù)融合算法的性能和關(guān)聯(lián)波門尺寸對數(shù)據(jù)融合的影響。首先,詳細(xì)論述了關(guān)聯(lián)波門的類型和波門尺寸對數(shù)據(jù)處理的影響,并通過數(shù)據(jù)仿真驗證了關(guān)聯(lián)波門尺寸選擇對數(shù)據(jù)處理的重要性。其次,對不同的數(shù)據(jù)融合算法進(jìn)行了詳細(xì)的分析和理論推導(dǎo),并給出了不同數(shù)據(jù)融合算法適用條件。最后,通過仿真數(shù)據(jù)驗證了數(shù)據(jù)融合對組網(wǎng)雷達(dá)系統(tǒng)性能的改善,并對不同的數(shù)據(jù)融合算法進(jìn)行了性能對比。(3)在分析組網(wǎng)雷達(dá)航跡欺騙干擾原理的基礎(chǔ)上,重點研究與分析組網(wǎng)雷達(dá)的距離欺騙和角度、距離欺騙的兩種有源欺騙方法。組網(wǎng)雷達(dá)的距離欺騙方法是在假目標(biāo)產(chǎn)生的數(shù)學(xué)模型和同源檢驗理論的基礎(chǔ)上,利用多干擾機(jī)調(diào)制轉(zhuǎn)發(fā)實現(xiàn)對組網(wǎng)系統(tǒng)的距離欺騙干擾。角度、距離組網(wǎng)雷達(dá)欺騙方法利用單干擾機(jī)調(diào)試轉(zhuǎn)發(fā)對組網(wǎng)系統(tǒng)形成穩(wěn)定假航跡。仿真數(shù)據(jù)處理結(jié)果驗證組網(wǎng)雷達(dá)的距離欺騙和角度、距離欺騙兩種干擾方法的有效性。
[Abstract]:With the new technology, new method and new technology constantly for weapons and equipment, modern living space radar in complex combat environment increasingly narrow, radar system is facing more new threats. To organize the different parameters of the radar, which not only improves the performance of the radar system, and expand the radar system compared with the living space. A single conventional radar system, radar network target detection in the early warning system, and has good performance in target tracking and anti-jamming. Therefore, radar information fusion and its countermeasure technology is a focus in the field of radar signal processing and electronic countermeasure. This paper focuses on the classification of moving target model of radar net, data preprocessing the tracking filtering algorithm, correlation gate selection and data fusion algorithm, in order to improve the detection efficiency of the radar network. The radar network system becomes more and more widely used. Study on the network before the jamming technology is a key research direction in the field of electronic warfare. In the network based on the radar data processing, analyzing the weak link algorithm in radar data processing network, establish a concept and mathematical model of track deception, studies the false target deception method and algorithm of the corresponding solution in. The complex electronic warfare environment, how to generate stable fraud false tracks of netted radar, radar network system and induce a miscarriage of justice to make wrong decisions in order to protect the real target. This paper is organized as follows: (1) a detailed study of the tracking filter algorithm, and gives the performance comparison and analysis of different tracking algorithms. Firstly, mathematics model corresponding to different motion conditions of target; secondly, discusses the pretreatment method of netted radar observation data. On this basis, detailed given Linear Calman filtering algorithm, extended Calman filter and Calman filter algorithm lossless filtering method of theoretical derivation and simulation data to verify the results. Finally, comparison and analysis of the performance of different filtering algorithm, for subsequent network radar observation data preprocessing, gate selection to establish the theoretical basis of data fusion and selection work. (2) focus on in the radar network data fusion technology, comparative analysis of the influence of different size and performance correlation gate data fusion algorithm of data fusion. First, discusses the association gate type and gate size effects on data processing, and through data simulation to verify the correlation gate size selection of the importance of data processing. Secondly, on different data fusion algorithms are analyzed in detail and theoretical derivation, and gives the data fusion algorithm for different conditions. Finally, through imitation Real data verified the performance of radar network system to improve the data fusion, and the different data fusion algorithm is compared. (3) based on the analysis of radar network track deception principle, focus on the research and analysis of radar network deception in distance and angle, distance of two kinds of active deception deception distance method. Deception method for radar networks is based in the math model of the false target and homology test theory, using multi jammer modulation transmit distance deception jamming on network system. Angle, distance of radar network deception method using single jammer to form a stable network system debugging forwarding false track. The simulation results verify the radar network the deception in distance and angle, the effectiveness of two kinds of distance deception jamming method.

【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN974

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本文編號：1423251