發(fā)布時(shí)間：2019-01-04 19:57

【摘要】：雷達(dá)輻射源信號(hào)分選是現(xiàn)代電子對(duì)抗和未來(lái)信息戰(zhàn)中的首要技術(shù),也是電子情報(bào)偵察系統(tǒng)和電子支援系統(tǒng)中的瓶頸技術(shù)。只有雷達(dá)偵察設(shè)備正確分選的基礎(chǔ)上,才能有效識(shí)別輻射源信號(hào),判定被截獲雷達(dá)的類型和威脅等級(jí),進(jìn)而選擇合適的對(duì)抗策略。隨著電子戰(zhàn)、信息戰(zhàn)的激烈對(duì)抗和現(xiàn)代雷達(dá)技術(shù)的快速發(fā)展,雷達(dá)信號(hào)分選所面臨的電磁環(huán)境日益復(fù)雜密集,采用低截獲概率、脈內(nèi)波形變換、多參數(shù)捷變等技術(shù),具有多種工作模式的先進(jìn)體制雷達(dá)也在逐漸取代信號(hào)形式簡(jiǎn)單、信號(hào)參數(shù)不變或只是緩慢變化的傳統(tǒng)雷達(dá)。針對(duì)復(fù)雜密集電磁環(huán)境下先進(jìn)體制多模雷達(dá)輻射源信號(hào)處理中存在的關(guān)鍵理論問(wèn)題,本論文進(jìn)行了探索性研究,獲得如下研究成果:(1)分析多模雷達(dá)輻射源信號(hào)特征的基礎(chǔ)上,討論傳統(tǒng)未知輻射源信號(hào)分選模型處理多模雷達(dá)信號(hào)存在的問(wèn)題,提出一種新的針對(duì)復(fù)雜電磁環(huán)境下未知多模雷達(dá)輻射源信號(hào)的分選模型,以更有效利用截獲雷達(dá)脈沖序列。(2)將數(shù)據(jù)挖掘理論引入到雷達(dá)信號(hào)分選技術(shù),通過(guò)數(shù)據(jù)場(chǎng)理論描述雷達(dá)輻射源信號(hào)樣本以抑制復(fù)雜電磁環(huán)境中高強(qiáng)度的噪聲干擾和離群數(shù)據(jù)干擾,根據(jù)數(shù)據(jù)場(chǎng)等勢(shì)線的分布情況建立信號(hào)樣本嵌套結(jié)構(gòu)供后續(xù)的層次聚類多參數(shù)分選算法使用,規(guī)避需要輻射源信號(hào)先驗(yàn)知識(shí)才能完成的參數(shù)設(shè)定環(huán)節(jié)。(3)提出利用層次聚類算法進(jìn)行多模雷達(dá)輻射源信號(hào)分選,層次聚類通過(guò)層次構(gòu)架模式,遞歸地對(duì)信號(hào)樣本進(jìn)行合并或分裂,最終形成一種嵌套的類層次結(jié)構(gòu)或類譜系圖,進(jìn)而將屬于同一輻射源不同工作模式的雷達(dá)信號(hào)歸納為同一譜系,可有效減少多模雷達(dá)信號(hào)分選過(guò)程中“增批”現(xiàn)象的出現(xiàn)。(4)利用云模型理論可以從模糊、隨機(jī)、不確定的小樣本數(shù)據(jù)中提取出定性概念的固有特征,提出一種基于云模型理論的分選結(jié)果有效性評(píng)估算法。算法中將每個(gè)層次聚類分選結(jié)果視為一個(gè)云模型,根據(jù)提出的評(píng)價(jià)判定準(zhǔn)則比較、處理不同云模型間的隸屬度。該算法可有效解決聚類算法類間分離度較差的問(wèn)題,同時(shí)可反饋優(yōu)化多參數(shù)聚類分選過(guò)程。
[Abstract]:Radar emitter signal sorting is the most important technology in modern electronic countermeasure and future information warfare, as well as the bottleneck technology in electronic intelligence reconnaissance system and electronic support system. Only on the basis of the correct sorting of radar reconnaissance equipment can the emitter signal be effectively identified, the type and threat level of the intercepted radar can be determined, and the appropriate countermeasures can be selected. With the fierce confrontation of electronic warfare, information warfare and the rapid development of modern radar technology, the electromagnetic environment of radar signal sorting is becoming more and more complex and dense. The techniques of low probability of interception, in-pulse waveform transformation, multi-parameter agility and so on are used. The advanced system radar with various working modes is gradually replacing the traditional radar with simple signal form, constant signal parameters or only slowly changing signal parameters. In view of the key theoretical problems existing in the signal processing of advanced multi-mode radar emitter in complex and dense electromagnetic environment, this paper carries out an exploratory study. The main results are as follows: (1) on the basis of analyzing the characteristics of multi-mode radar emitter signal, the problems of traditional unknown-emitter signal sorting model for multimode radar signal processing are discussed. A new sorting model for unknown multi-mode radar emitter signals in complex electromagnetic environment is proposed in order to make more effective use of intercepted radar pulse sequences. (2) data mining theory is introduced into radar signal sorting technology. Radar emitter signal samples are described by data field theory to suppress high intensity noise interference and outlier data interference in complex electromagnetic environment. According to the distribution of the isopotential lines of the data field, the nested structure of the signal samples is established for the subsequent hierarchical clustering multi-parameter sorting algorithm. In order to avoid the parameter setting process which requires prior knowledge of emitter signal, the hierarchical clustering algorithm is proposed for multi-mode radar emitter signal sorting. The signal samples are merged or split recursively to form a nested class hierarchy or pedigree diagram, and then the radar signals belonging to different working modes of the same emitter are grouped into the same spectrum. It can effectively reduce the phenomenon of "increasing batch" in the process of multi-mode radar signal sorting. (4) using cloud model theory, the inherent characteristics of qualitative concepts can be extracted from fuzzy, random and uncertain small sample data. An algorithm for evaluating the validity of sorting results based on cloud model theory is proposed. In the algorithm, the clustering and sorting results of each level are regarded as a cloud model, and the membership degree among different cloud models is dealt with according to the comparison of the evaluation criteria proposed. The algorithm can effectively solve the problem of poor separation between clusters and can be used to optimize multi-parameter clustering process.
【學(xué)位授予單位】：哈爾濱工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.51

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