参数联合的机载火控雷达辐射源识别技术研究

发布时间：2018-08-26 07:17

【摘要】：机载火控雷达在过去的几十年里得到高速发展，已成为现代空军的重要装备，其探测、跟踪与识别是现代防空的重要任务。论文从机载火控雷达辐射源识别这一电子侦察领域的迫切需求出发，针对机载火控雷达工作方式多、参数模式多、不同型号参数之间存在重叠，同时侦察截获分选后信号增批多，单个信号只体现部分特征的现实难点，开展了机载火控雷达辐射源识别的参数建模研究；雷达辐射源识别中的多参数联合识别研究；非完整参数信号联合的雷达辐射源识别研究。主要研究内容概括如下： 1）针对机载火控雷达工作方式多，同一工作方式下参数模式多，采用了复杂体制的雷达辐射源的联合参数建模方法，该方法能够实现对标量、区间和序列三种类型参数的联合建模。在此基础上，对各模式参数的置信度计算进行了分析。 2）针对已经建立的多个参数联合模型，，考虑到不同工作方式下各个参数对雷达辐射源识别的影响不同，因此将多属性决策分析理论应用到雷达识别中，采用复合权重概率，建立了基于复合权值接近理想点法（TOPSIS）的机载火控雷达辐射源识别方法。通过实例分析表明，该方法可以对不同工作方式下机载火控雷达辐射源进行正确的识别。 3）针对侦察设备对机载火控雷达辐射源的一次扫描信号截获过程中，分选后得到的多个增批信号，采用了贝叶斯推理方法对机载火控雷达辐射源进行参数联合识别，通过非完整参数的多信号联合，来实现完整特征的识别。分析结果表明，通过贝叶斯理论对非完整信号进行联合推理，能够进一步提高雷达辐射源的识别率。
[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.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN959.1

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