Cooperative tracking optimization of near space high-speed vehicle based on improved particle swarm optimization

被引：0

作者：

Fan C. ^{[1
]}

Fu Q. ^{[1
]}

Xing Q. ^{[1
]}

机构：

[1] School of Air And Missile Defense, Air Force Engineering University, Xi'an

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2017年 / 39卷 / 03期

关键词：

Improved particle swarm optimization (PSO); Multi-sensor cooperative; Near space high-speed vehicle; Tracking optimization;

D O I：

10.3969/j.issn.1001-506X.2017.03.03

中图分类号：

学科分类号：

摘要：

The near space high-speed vehicle has the characteristics of large aerospace and high speed. As the allocation resources involve numerous factors and the cooperative relations are complex, multi-sensor cooperative tracking puts forward higher requirements for the optimization algorithm about tracking accuracy and real-time. Firstly, the multi-sensor cooperative tracking optimization model is proposed. Secondly, the confidence operator and repulsion operator particle swarm optimization (CORO-PSO) is proposed by introducing confidence and repulsion operators into the basic PSO. Finally, experimental results demonstrate this algorithm is reliable and can provide the method support for the development of cooperative tracking of the near space high-speed vehicle. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.

引用

页码：476 / 481

页数：5

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