【摘要】：以F22為代表的隱身目標具有隱身性好和機動性強等特點，，是我國建立新一代國土防空預警網(wǎng)的重要挑戰(zhàn)之一。采用多雷達組網(wǎng)方式能夠從不同角度對空域進行探測，獲取多方位的戰(zhàn)場信息，綜合利用信息融合技術(shù)能夠提高對這類隱身目標的探測能力。 為驗證信息融合算法的性能及對網(wǎng)內(nèi)資源進行有效管理，本文在帶反饋的信息融合-資源管理對偶性結(jié)構(gòu)的基礎(chǔ)上，進行了多雷達組網(wǎng)仿真平臺的方案設(shè)計及主要功能模塊的實現(xiàn)，并針對雷達組網(wǎng)反隱身部署優(yōu)化問題進行了算法研究。本文的主要研究工作如下： 首先，介紹了課題的研究背景及意義，并對多雷達組網(wǎng)及分布式仿真技術(shù)國內(nèi)外研究現(xiàn)狀進行了綜述。 其次，在對雷達組網(wǎng)數(shù)據(jù)融合仿真系統(tǒng)進行需求分析基礎(chǔ)上，基于高層體系結(jié)構(gòu)進行了仿真系統(tǒng)總體框架設(shè)計，構(gòu)成聯(lián)邦的主要聯(lián)邦成員包括目標、雷達、融合中心與傳感器管理等，描述了各主要聯(lián)邦成員的功能及輸入輸出接口�；贛ak rti軟件實現(xiàn)了這些模塊的功能，建立了多雷達組網(wǎng)數(shù)據(jù)融合仿真軟件平臺，并進行了相關(guān)算法移植與測試。 再次，為實現(xiàn)對雷達網(wǎng)靜態(tài)管理，進行了多雷達組網(wǎng)反隱身優(yōu)化部署研究。首先建立了單雷達探測隱身目標的簡化模型，然后針對反隱身背景建立了兩級布站優(yōu)化指標，提出了一種融合粒子群和鮑威爾搜索法的優(yōu)化算法對組網(wǎng)雷達部署優(yōu)化問題進行求解。通過仿真比較分析了粒子群算法與本文提出算法的性能，驗證提出算法的有效性。 最后，對本文進行總結(jié)。
[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.
【學位授予單位】：杭州電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.52

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