本文選題：多傳感器交叉提示 + 博弈論��； 參考：《系統(tǒng)工程與電子技術》2017年08期

【摘要】：針對傳感器交叉提示技術在目標探測中的應用問題展開研究,首先介紹多傳感器交叉提示技術基本理論,建立了具有社區(qū)性的傳感器網絡模型和基于多Agent技術的分布式傳感器管理結構,分析了傳感器交叉提示發(fā)生的條件和類型,其次提出了傳感器網絡效能評價函數(shù),最后設計了基于博弈論的多傳感器交叉提示算法。仿真結果表明,提出的多傳感器交叉提示模型符合實際作戰(zhàn)場景,能夠生成傳感器聯(lián)盟方案對目標檢測和跟蹤,并進行目標交接,與拍賣算法和人工蜂群算法相比,博弈論算法求解質量較高,收斂速度明顯提高,更適用于作戰(zhàn)態(tài)勢較緊急的情形。
[Abstract]:Based on the research on the application of sensor cross prompt technology in target detection, the basic theory of multi sensor cross prompt technology is introduced. The community sensor network model and the distributed sensor management structure based on multi-Agent technology are established, and the conditions and types of sensor cross-cues are analyzed. Secondly, the effectiveness evaluation function of sensor network is proposed. Finally, a multi-sensor cross-prompt algorithm based on game theory is designed. The simulation results show that the proposed multi-sensor cross-prompt model accords with the actual combat scenario, and can generate sensor alliance scheme to detect and track the target and transfer the target. Compared with the auction algorithm and the artificial bee colony algorithm, the proposed model can be used to detect and track the target. The solution quality of game theory algorithm is higher and the convergence rate is improved obviously. It is more suitable for the urgent situation of combat situation.
【作者單位】： 空軍工程大學防空反導學院;
【基金】：國家自然科學基金(61573374) 青年國家自然科學基金(61503408) 航空科學基金(20150196006)資助課題
【分類號】：O225;TP212

【參考文獻】

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1 方德亮;冉曉e，

本文編號：1927543