多雷达组网数据融合仿真平台及相关算法研究

发布时间：2018-10-30 14:25

【摘要】：以F22为代表的隐身目标具有隐身性好和机动性强等特点，，是我国建立新一代国土防空预警网的重要挑战之一。采用多雷达组网方式能够从不同角度对空域进行探测，获取多方位的战场信息，综合利用信息融合技术能够提高对这类隐身目标的探测能力。为验证信息融合算法的性能及对网内资源进行有效管理，本文在带反馈的信息融合-资源管理对偶性结构的基础上，进行了多雷达组网仿真平台的方案设计及主要功能模块的实现，并针对雷达组网反隐身部署优化问题进行了算法研究。本文的主要研究工作如下：首先，介绍了课题的研究背景及意义，并对多雷达组网及分布式仿真技术国内外研究现状进行了综述。其次，在对雷达组网数据融合仿真系统进行需求分析基础上，基于高层体系结构进行了仿真系统总体框架设计，构成联邦的主要联邦成员包括目标、雷达、融合中心与传感器管理等，描述了各主要联邦成员的功能及输入输出接口。基于Mak rti软件实现了这些模块的功能，建立了多雷达组网数据融合仿真软件平台，并进行了相关算法移植与测试。再次，为实现对雷达网静态管理，进行了多雷达组网反隐身优化部署研究。首先建立了单雷达探测隐身目标的简化模型，然后针对反隐身背景建立了两级布站优化指标，提出了一种融合粒子群和鲍威尔搜索法的优化算法对组网雷达部署优化问题进行求解。通过仿真比较分析了粒子群算法与本文提出算法的性能，验证提出算法的有效性。最后，对本文进行总结。
[Abstract]:The stealth target represented by F22 has the characteristics of good stealth and strong maneuverability, which is one of the important challenges for the establishment of a new national air defense early warning network in China. The multi-radar network can detect the airspace from different angles and obtain multi-directional battlefield information. Using information fusion technology can improve the detection ability of this kind of stealth targets. In order to verify the performance of the information fusion algorithm and to effectively manage the resources in the network, this paper is based on the dual structure of information fusion and resource management with feedback. The scheme design and the realization of main function modules of multi-radar netting simulation platform are carried out, and the algorithm of anti-stealth deployment optimization of radar netting is studied. The main research work of this paper is as follows: firstly, the research background and significance of the project are introduced, and the research status of multi-radar networking and distributed simulation technology at home and abroad is summarized. Secondly, based on the requirement analysis of radar netted data fusion simulation system, the overall framework of the simulation system is designed based on the high-level architecture. The main federate members of the federation include target, radar, radar, The fusion center and sensor management, etc., describe the functions of the main federates and the input and output interfaces. Based on the Mak rti software, the function of these modules is realized, and the simulation software platform of multi-radar networking data fusion is established, and the related algorithms are transplanted and tested. Thirdly, in order to realize the static management of radar network, the anti-stealth optimization deployment of multi-radar network is studied. Firstly, a simplified model for detecting stealth targets by single radar is established, and then a two-stage optimization index is established for anti-stealth background. An optimization algorithm combining particle swarm optimization and Powell search is proposed to solve the netted radar deployment optimization problem. The performance of particle swarm optimization (PSO) algorithm and the proposed algorithm are analyzed by simulation, and the effectiveness of the proposed algorithm is verified. Finally, this paper is summarized.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.52

【参考文献】