基于PEV准则的不确定混合多传感器联盟求解

doi:10.12305/j.issn.1001-506X.2022.03.14

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (3): 819-826.doi: 10.12305/j.issn.1001-506X.2022.03.14

基于P_EV准则的不确定混合多传感器联盟求解

谢家豪*, 黄树彩, 韦道知, 张曌宇, 王文豪

空军工程大学防空反导学院, 陕西西安 710051

收稿日期:2020-12-20 出版日期:2022-03-01 发布日期:2022-03-10
通讯作者: 谢家豪
作者简介:谢家豪(1996—), 男, 博士研究生, 主要研究方向为空天信息智能处理、多传感器交叉提示技术|黄树彩(1967—), 男, 教授, 博士, 主要研究方向为空天目标协同跟踪与拦截引导|韦道知(1977—), 男, 副教授, 博士, 主要研究方向为空天目标协同跟踪与拦截引导|张曌宇(1996—), 女, 硕士研究生, 主要研究方向为空天目标探测|王文豪(1998—), 男, 硕士研究生, 主要研究方向为空天目标探测
基金资助:
国家自然科学基金(61603410);国家自然科学基金(61273275)

Solution for uncertain hybrid multi-sensor alliance based on P_EV principle

Jiahao XIE*, Shucai HUANG, Daozhi WEI, Zhaoyu ZHANG, Wenhao WANG

Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received:2020-12-20 Online:2022-03-01 Published:2022-03-10
Contact: Jiahao XIE

摘要/Abstract

摘要：

针对不确定混合多传感器联盟求解问题, 提出了一种在P_EV准则下求解的方法。首先以提高传感器资源利用率和对目标跟踪精度为目的建立目标函数, 以传感器跟踪能力为约束建立不确定混合多传感器联盟模型, 其次利用不确定理想点法和P_EV准则将不确定模型变为确定模型, 最后设计改进选择策略的烟花算法求出混合多传感器联盟的有效解, 通过“预测再预测”传感器管理机制实现对传感器联盟更新过程的动态控制。仿真实验表明利用P_EV准则处理不确定混合多传感器联盟模型的可行性和有效性, 同时实验也证明本文算法和传感器管理机制在求解质量、跟踪精度和对战场环境的适应度上均优于对比算法和机制。

关键词: P_EV准则, 不确定多传感器联盟, 改进烟花算法, 目标跟踪精度

Abstract:

Focusing on the solution of uncertain hybrid multi-sensor alliance, a method under P_EV principle is proposed. Firstly, objective function is built aiming at improving the sensor resource utilization and target tracking accuracy. Then, uncertain hybrid multi-sensor alliance model is established under the restraint of sensor tracking ability. Furthermore, by using uncertain ideal point method and P_EV principle, uncertain model is converted to a certain model. Finally, improved selected strategy firework algorithm is designed to obtain the effective solution to the model, and sensor management mechanism which by prediction and re-prediction is proposed to realize the dynamic control of the sensor alliance update process. Simulation results show that dealing with uncertain hybrid multi-sensor alliance model under P_EV principle is feasibility and effectiveness, in the meantime, the algorithm and sensor management mechanism proposed are better than other comparison algorithms and mechanisms in solution quality, tracking accuracy and the fitness to the combat environment.

Key words: P_EV principle, uncertain sensor alliance, improved firework algorithm, target tracking accuracy

中图分类号:

TP732

谢家豪, 黄树彩, 韦道知, 张曌宇, 王文豪. 基于P_EV准则的不确定混合多传感器联盟求解[J]. 系统工程与电子技术, 2022, 44(3): 819-826.

Jiahao XIE, Shucai HUANG, Daozhi WEI, Zhaoyu ZHANG, Wenhao WANG. Solution for uncertain hybrid multi-sensor alliance based on P_EV principle[J]. Systems Engineering and Electronics, 2022, 44(3): 819-826.

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参数名称	参数值
初始烟花数量	5
最大爆炸幅度	90
火花粒子总数限制	10
最小常数	10^－8
最大迭代次数	300
搜索边界	[－10, 10]

方法	目标	传感器
方法	目标	s₁	s₂	s₃	s₄	s₅	s₆	s₇	s₈
传统求解方法	t₁	1	0	1	0	1	1	1	0
	t₂	1	1	1	0	1	0	0	1
	t₃	1	1	0	1	0	1	1	1
不确定理想点法	t₁	1	1	0	1	0	1	1	1
	t₂	1	0	1	1	1	0	1	1
	t₃	1	0	1	1	1	1	0	1

方法	RMSE
方法	目标1	目标2	目标3
M & R-P	132.81	121.22	112.96
P & U	103.36	75.08	85.23
P & R-P	31.25	35.96	29.41

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基于P_EV准则的不确定混合多传感器联盟求解

Solution for uncertain hybrid multi-sensor alliance based on P_EV principle

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基于PEV准则的不确定混合多传感器联盟求解

Solution for uncertain hybrid multi-sensor alliance based on PEV principle

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基于P_EV准则的不确定混合多传感器联盟求解

Solution for uncertain hybrid multi-sensor alliance based on P_EV principle