Threat equivalent and improved PSO algorithm based real-time method of UCAV route planning

被引：6

作者：

Tang S.-Q. ^{[1
]}

Huang C.-Q. ^{[1
]}

Hu J. ^{[1
]}

Wu W.-C. ^{[1
]}

机构：

[1] Engineering Coll., Air Force Engineering Univ.

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 08期

关键词：

Best route; Dynamic radar cross section (RCS); Particle swarm optimization (PSO) algorithm; Threat equivalent; Unmanned combat aerial vehicle (UCAV);

D O I：

10.3969/j.issn.1001-506X.2010.08.33

中图分类号：

学科分类号：

摘要：

In order to solve the problem of real-time route planning of unmanned combat aerial vehicle (UCAV), the damage and injury distance are got through threat classification and delamination. A simple two-dimensional UCAV model is established. The threat cost function based on the detecting probability is got by utilizing the relation between flight attitude and dynamic radar cross section (RCS). Finally the adaptive learning particle swarm optimization (PSO) algorithm is used to simulate the new way, and the result indicates the validity of this method.

引用

页码：1706 / 1710

页数：4

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