| 基于约束的单纯形-粒子群混合优化DEUCE测向算法 |
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| 引用本文： | 唐涛,吴瑛. 基于约束的单纯形-粒子群混合优化DEUCE测向算法[J]. 信息工程大学学报, 2008, 9(3) |
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| 作者姓名： | 唐涛 吴瑛 |
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| 作者单位： | 信息工程大学,信息工程学院,河南,郑州,450002 |
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| 摘 要： | 文章介绍一种新的基于特征结构的DOA估计算法,并对算法中非线性多维搜索问题限制算法应用这个缺点提出了一种基于约束的单纯形-粒子群混合优化DEUCE测向算法,改进算法把罚函数方法、粒子群算法、单纯形算法有机结合并应用到DEUCE算法中去;仿真结果表明改进算法在保持低收敛门限和高估计精度的优点下,具有更快的运算速度。
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| 关 键 词： | 粒子群优化算法 单纯形法 非相关 |
DEUCE Direction Finding Algorithm Based on Restrained Simplex Particle Swarm Optimization Method |
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| TANG Tao,WU Ying. DEUCE Direction Finding Algorithm Based on Restrained Simplex Particle Swarm Optimization Method[J]. , 2008, 9(3) |
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| Authors: | TANG Tao WU Ying |
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| Abstract: | In this paper,a novel eigenstructure-based method for direction estimation is presented.However,multi-dimensional optimizing restricts the broad application.Therefore,the DEUCE direction finding algorithm based on restrained simplex particle swarm optimization method is presented in order to solve this disadvantage.We unify the penalty function,particle swarm optimization algorithm,simplex algorithm to obtain the DOA estimation.Simulation shows that the proposed algorithm can provide accurate estimation efficiently,with lower resolution threshold. |
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| Keywords: | particle swarm optimization algorithm simplex method uncorrelated |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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