【摘要】：機載火控雷達在過去的幾十年里得到高速發(fā)展，已成為現(xiàn)代空軍的重要裝備，其探測、跟蹤與識別是現(xiàn)代防空的重要任務(wù)。論文從機載火控雷達輻射源識別這一電子偵察領(lǐng)域的迫切需求出發(fā)，針對機載火控雷達工作方式多、參數(shù)模式多、不同型號參數(shù)之間存在重疊，同時偵察截獲分選后信號增批多，單個信號只體現(xiàn)部分特征的現(xiàn)實難點，開展了機載火控雷達輻射源識別的參數(shù)建模研究；雷達輻射源識別中的多參數(shù)聯(lián)合識別研究；非完整參數(shù)信號聯(lián)合的雷達輻射源識別研究。主要研究內(nèi)容概括如下： 1）針對機載火控雷達工作方式多，同一工作方式下參數(shù)模式多，采用了復(fù)雜體制的雷達輻射源的聯(lián)合參數(shù)建模方法，該方法能夠?qū)崿F(xiàn)對標量、區(qū)間和序列三種類型參數(shù)的聯(lián)合建模。在此基礎(chǔ)上，對各模式參數(shù)的置信度計算進行了分析。 2）針對已經(jīng)建立的多個參數(shù)聯(lián)合模型，，考慮到不同工作方式下各個參數(shù)對雷達輻射源識別的影響不同，因此將多屬性決策分析理論應(yīng)用到雷達識別中，采用復(fù)合權(quán)重概率，建立了基于復(fù)合權(quán)值接近理想點法（TOPSIS）的機載火控雷達輻射源識別方法。通過實例分析表明，該方法可以對不同工作方式下機載火控雷達輻射源進行正確的識別。 3）針對偵察設(shè)備對機載火控雷達輻射源的一次掃描信號截獲過程中，分選后得到的多個增批信號，采用了貝葉斯推理方法對機載火控雷達輻射源進行參數(shù)聯(lián)合識別，通過非完整參數(shù)的多信號聯(lián)合，來實現(xiàn)完整特征的識別。分析結(jié)果表明，通過貝葉斯理論對非完整信號進行聯(lián)合推理，能夠進一步提高雷達輻射源的識別率。
[Abstract]:Airborne fire control radar has been developed rapidly in the past decades and has become an important equipment of modern air force. Its detection, tracking and identification is an important task of modern air defense. According to the urgent need of airborne fire control radar emitter identification, aiming at the many working modes, the parameter modes of airborne fire control radar, and the overlap between different types of parameters, this paper aims at the urgent need of airborne fire control radar emitter identification, which is the urgent demand in the field of electronic reconnaissance. At the same time, after reconnaissance, interception and sorting, there are many additional batches of signals, but only a few features of a single signal. The parameter modeling research of airborne fire control radar emitter identification is carried out, and the research on joint identification of multiple parameters in radar emitter identification is carried out. Recognition of radar emitter based on nonholonomic parameter signals. The main research contents are summarized as follows: 1) aiming at more working modes of airborne fire control radar and more parameter modes under the same working mode, the combined parameter modeling method of radar emitter with complex system is adopted. This method can achieve the joint modeling of scalar, interval and sequence parameters. On the basis of this, the confidence degree calculation of each mode parameter is analyzed. 2) considering the different influence of each parameter on radar emitter identification under different working modes, considering several parameter joint models that have been established. Therefore, the theory of multi-attribute decision analysis is applied to radar recognition, and a method of airborne fire control radar emitter recognition based on composite weight approach to ideal point method (TOPSIS) is established by using compound weight probability. The analysis of an example shows that the method can correctly identify the emitter of airborne fire control radar under different working modes. 3) in the process of intercepting the scanning signal of airborne fire control radar emitter by reconnaissance equipment, The Bayesian reasoning method is used to identify the parameters of airborne fire control radar emitter. The results show that the recognition rate of radar emitter can be further improved by using Bayesian theory to infer the nonholonomic signal.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN959.1

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