分布式网络化雷达协同探测的相关算法研究及其仿真系统的开发

发布时间：2018-06-22 11:54

本文选题：组网雷达 + 信号融合检测　；参考：《西安电子科技大学》2015年硕士论文

【摘要】：在现代战争中,战场环境和目标特征越来越复杂,单站雷达的生存正面临严重威胁。雷达组网作为提高单站雷达生存能力的一种有效方案,可以提高雷达系统的跟踪精度和抗干扰能力,提高目标探测性能,从而实现对关键区域和目标的有效预警探测。本文首先研究了雷达组网系统的目标检测算法与目标跟踪算法的基本理论,而后结合雷达组网的实际工作情况,开发了分布式网络化雷达系统探测仿真系统,为雷达组网系统的算法性能验证提供了实验平台。本文首先阐述了课题的研究背景和意义,并介绍了论文的主要内容和整体框架。在此基础上,从以下三个方面对本文的主要内容进行介绍:第一部分,主要介绍了网络化雷达协同探测的信号融合检测技术和多传感器目标跟踪技术。在信号融合检测技术中研究了在噪声功率已知和噪声功率未知两种情况下,分布式单元平均恒虚警检测算法的目标检测性能;在多传感器目标跟踪技术中分别研究了集中式目标跟踪算法和分布式航迹融合算法,并分析了每种算法的目标跟踪性能。第二部分,研究了分布式网络化雷达组网协同探测仿真系统体系架构,依托本地局域网搭建了仿真平台,最终借助MATLAB实现了该仿真系统的软件开发流程。该部分的主要工作包括仿真系统的架构设计,高分辨率地图的显示,系统子模块建模,系统节点的信号处理流程以及并行程序的设计。第三部分,介绍了分布式网络化雷达组网协同探测仿真系统软件的安装与使用方法,并对现有的信号融合检测算法和多站目标跟踪算法的优势进行了仿真演示。通过与单站的目标检测结果进行比较,展现了分布式网络化雷达协同探测的性能得益。最后,论文系统地总结了全文的工作,并指出了今后进一步的研究方向。
[Abstract]:In modern warfare, the battlefield environment and target characteristics are more and more complex, and the survival of single-station radar is facing serious threat. As an effective scheme to improve the survivability of single station radar, radar network can improve the tracking accuracy and anti-jamming ability of radar system, improve the target detection performance, and realize the effective early warning detection of key areas and targets. In this paper, the basic theory of target detection algorithm and target tracking algorithm of radar netting system is studied firstly, and then the distributed networked radar system detection simulation system is developed according to the actual working conditions of radar network. The experimental platform is provided for the performance verification of radar netting system. In this paper, the background and significance of the research are described, and the main contents and the overall framework of the thesis are introduced. On this basis, the main contents of this paper are introduced from the following three aspects: in the first part, the signal fusion detection technology and multi-sensor target tracking technology of networked radar cooperative detection are introduced. In the signal fusion detection technology, the target detection performance of the distributed CFAR detection algorithm is studied under the condition of noise power and noise power. In the multi-sensor target tracking technology, the centralized target tracking algorithm and the distributed track fusion algorithm are studied, and the target tracking performance of each algorithm is analyzed. In the second part, the architecture of distributed networked radar network-based cooperative detection simulation system is studied, and the simulation platform is built based on local area network. Finally, the software development flow of the simulation system is realized by MATLAB. The main work of this part includes the architecture design of simulation system, the display of high-resolution map, the modeling of system sub-module, the signal processing flow of system node and the design of parallel program. In the third part, the software installation and application of distributed networked radar network-based cooperative detection simulation system are introduced, and the advantages of existing signal fusion detection algorithm and multi-station target tracking algorithm are demonstrated by simulation. The performance of distributed network-based radar cooperative detection is demonstrated by comparing the results of target detection with single station. Finally, the thesis systematically summarizes the work of the paper, and points out the future research direction.
【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】：2015
【分类号】：TN957.51

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