基于任务效用最大化的多雷达协同任务规划算法

TN958.92; 该文针对多雷达协同场景下的多任务实时规划问题,提出了一种基于任务效用最大化的多雷达协同在线任务规划模型.该模型以任务效用函数最大化为目标将多雷达协同任务分配建模成一个基于整数规划的多变量混合优化问题;随后提出了启发式穷举搜索算法和基于凸松弛的两步解耦算法,可在多项式时间内完成了该NP难优化问题的求解,且分别在优化性能和计算效率方面有所侧重.仿真实验表明,相比于可找到最优解的穷举搜索算法,该文提出算法可有效降低任务规划问题复杂度,提升问题求解效率,以满足在线任务分配的实时性要求....

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Published in雷达学报 Vol. 12; no. 3; pp. 550 - 562
Main Authors 袁野, 杨剑, 刘辛雨, 易伟, 孔令讲
Format Journal Article
LanguageChinese
Published 电子科技大学信息与通信工程学院 成都 611731%火箭军工程大学导弹工程学院 西安 710025 01.06.2023
Subjects
Task utility
多雷达协同探测
Optimization algorithms
任务规划
Multiradar collaborative detection
最优化算法
Task planning
任务效用
Online AccessGet full text
ISSN2095-283X
DOI10.12000/JR23013

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Abstract TN958.92; 该文针对多雷达协同场景下的多任务实时规划问题,提出了一种基于任务效用最大化的多雷达协同在线任务规划模型.该模型以任务效用函数最大化为目标将多雷达协同任务分配建模成一个基于整数规划的多变量混合优化问题;随后提出了启发式穷举搜索算法和基于凸松弛的两步解耦算法,可在多项式时间内完成了该NP难优化问题的求解,且分别在优化性能和计算效率方面有所侧重.仿真实验表明,相比于可找到最优解的穷举搜索算法,该文提出算法可有效降低任务规划问题复杂度,提升问题求解效率,以满足在线任务分配的实时性要求.
AbstractList TN958.92; 该文针对多雷达协同场景下的多任务实时规划问题,提出了一种基于任务效用最大化的多雷达协同在线任务规划模型.该模型以任务效用函数最大化为目标将多雷达协同任务分配建模成一个基于整数规划的多变量混合优化问题;随后提出了启发式穷举搜索算法和基于凸松弛的两步解耦算法,可在多项式时间内完成了该NP难优化问题的求解,且分别在优化性能和计算效率方面有所侧重.仿真实验表明,相比于可找到最优解的穷举搜索算法,该文提出算法可有效降低任务规划问题复杂度,提升问题求解效率,以满足在线任务分配的实时性要求.
Author 易伟
孔令讲
刘辛雨
袁野
杨剑
AuthorAffiliation 电子科技大学信息与通信工程学院 成都 611731%火箭军工程大学导弹工程学院 西安 710025
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Author_FL YANG Jian
YI Wei
KONG Lingjiang
YUAN Ye
LIU Xinyu
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Keywords Task utility
多雷达协同探测
Optimization algorithms
任务规划
Multiradar collaborative detection
最优化算法
Task planning
任务效用
Language Chinese
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Snippet TN958.92; 该文针对多雷达协同场景下的多任务实时规划问题,提出了一种基于任务效用最大化的多雷达协同在线任务规划模型.该模型以任务效用函数最大化为目标将多雷达协同任...
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