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(shù)》2017年08期

【摘要】：針對(duì)傳感器交叉提示技術(shù)在目標(biāo)探測(cè)中的應(yīng)用問(wèn)題展開(kāi)研究,首先介紹多傳感器交叉提示技術(shù)基本理論,建立了具有社區(qū)性的傳感器網(wǎng)絡(luò)模型和基于多Agent技術(shù)的分布式傳感器管理結(jié)構(gòu),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(wǎng)絡(luò)效能評(píng)價(jià)函數(shù),最后設(shè)計(jì)了基于博弈論的多傳感器交叉提示算法。仿真結(jié)果表明,提出的多傳感器交叉提示模型符合實(shí)際作戰(zhàn)場(chǎng)景,能夠生成傳感器聯(lián)盟方案對(duì)目標(biāo)檢測(cè)和跟蹤,并進(jìn)行目標(biāo)交接,與拍賣(mài)算法和人工蜂群算法相比,博弈論算法求解質(zhì)量較高,收斂速度明顯提高,更適用于作戰(zhàn)態(tài)勢(shì)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(xué)防空反導(dǎo)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61573374) 青年國(guó)家自然科學(xué)基金(61503408) 航空科學(xué)基金(20150196006)資助課題
【分類號(hào)】：O225;TP212

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 方德亮;冉曉e，

本文編號(hào)：1927543