雷达组网信息融合及欺骗干扰技术研究

发布时间：2018-01-14 10:42

本文关键词：雷达组网信息融合及欺骗干扰技术研究　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着新技术、新方法和新工艺不断用于武器装备,现代雷达在复杂作战环境中的生存空间日益狭窄,雷达系统面临着更多新的威胁。对不同参数的雷达进行组网,不仅提高了雷达系统的性能,而且扩大了雷达系统的生存空间。与传统的单雷达系统相比,雷达组网系统在预警、目标检测、目标跟踪和抗干扰等方面具有较好的性能。因此,雷达组网信息融合及其对抗技术是目前雷达信号处理和电子对抗领域的研究热点。本文重点介绍雷达组网中的动目标模型分类、数据的预处理、跟踪滤波算法、关联波门选择和数据融合算法等,以提高组网雷达的探测效率。由于雷达组网系统日益广泛应用,目前对组网的干扰技术研究是电子对抗领域的重点研究方向。在组网雷达数据处理的研究基础上,分析组网雷达数据处理算法中的薄弱环节,建立了航迹欺骗干扰的概念和数学模型,研究了有效的假目标欺骗方法和相应的算法流程。解决在当前复杂电子对抗环境下,如何对组网雷达产生稳定的欺骗假航迹,诱使雷达组网系统做出误判和错误决策从而保护真实目标。本文的具体内容安排如下:(1)详细研究了目标跟踪滤波算法,并给出不同跟踪滤波算法的性能对比分析。首先,建立不同运动条件下的目标对应的数学模型;其次,论述了组网雷达观测数据预处理方法。在此基础上,详细给出了线性卡尔曼滤波算法、扩展卡尔曼滤波算法和无损卡尔曼滤波算法等滤波方法的理论推导和仿真数据验证结果。最后,对比分析了不同滤波算法的性能,为后续组网雷达观测数据预处理、波门选择和数据融合等工作建立理论基础。(2)重点研究了组网雷达中的数据融合技术,分析对比了不同数据融合算法的性能和关联波门尺寸对数据融合的影响。首先,详细论述了关联波门的类型和波门尺寸对数据处理的影响,并通过数据仿真验证了关联波门尺寸选择对数据处理的重要性。其次,对不同的数据融合算法进行了详细的分析和理论推导,并给出了不同数据融合算法适用条件。最后,通过仿真数据验证了数据融合对组网雷达系统性能的改善,并对不同的数据融合算法进行了性能对比。(3)在分析组网雷达航迹欺骗干扰原理的基础上,重点研究与分析组网雷达的距离欺骗和角度、距离欺骗的两种有源欺骗方法。组网雷达的距离欺骗方法是在假目标产生的数学模型和同源检验理论的基础上,利用多干扰机调制转发实现对组网系统的距离欺骗干扰。角度、距离组网雷达欺骗方法利用单干扰机调试转发对组网系统形成稳定假航迹。仿真数据处理结果验证组网雷达的距离欺骗和角度、距离欺骗两种干扰方法的有效性。
[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.

【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN974

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