| 基于进化策略的多传感器检测系统的优化设计 |
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| 引用本文： | 梁继民,杨万海,蔡希尧.基于进化策略的多传感器检测系统的优化设计[J].电子学报,2000,28(6):135-137. |
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| 作者姓名： | 梁继民 杨万海 蔡希尧 |
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| 作者单位： | 西安电子科技大学电子工程学院,西安 710071 |
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| 基金项目： | 国防科技预研基金项目!(No .98J 6 .7.DZ0 1 )资助课题 |
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| 摘 要： | 本文提出一种聂曼-皮尔逊准则下分布式多传感器检测系统优化设计的混合优化算法,该算法以进化策略方法进行全局搜索,辅以Powell方向加速法进行局部搜索,无须使用目标函数的导数信息.对分布式恒虚警检测系统的优化设计结果表明,混合优化算法在收敛性和精度上都优于梯度算法.
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| 关 键 词： | 多传感器检测 聂曼-皮尔逊准则 进化策略 Powell方向加速法 |
| 收稿时间： | 1999-04-02 |
Evolutionary Strategies Based Optimization Method for Multisensor Detection System |
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| LIANG Ji-min,YANG Wan-hai,CAI Xi-yao.Evolutionary Strategies Based Optimization Method for Multisensor Detection System[J].Acta Electronica Sinica,2000,28(6):135-137. |
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| Authors: | LIANG Ji-min YANG Wan-hai CAI Xi-yao |
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| Affiliation: | School of Electronic Engineering,Xidian University,Xi'an 710071,China |
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| Abstract: | A hybrid method is prposed for the optimization of multisensor detection system under Neyman Pearson criteria.It optimizes the object function by using evolutionary strategies to do global search and Powell's directional acceleration method to do local search respectively,and does not need the object function's derivation information.The results of distributed CFAR system design examples show better convergent ability and precision for the hybrid method than gradient algorithm. |
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| Keywords: | multisensor detection Neyman Pearson criteria evolutionary strategies Powell's directional acceleration method |
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