| 一种权值在线学习的分布式检测系统的融合算法 |
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| 引用本文： | 廖东平,魏玺章,黎湘. 一种权值在线学习的分布式检测系统的融合算法[J]. 系统工程与电子技术, 2003, 25(3): 263-266 |
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| 作者姓名： | 廖东平 魏玺章 黎湘 |
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| 作者单位： | 国防科技大学电子科学与工程学院ATR国家重点实验室,湖南,长沙,410073 |
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| 基金项目： | 国防预研项目资助课题(413010701-2) |
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| 摘 要： | 研究了一种基于最小错误概率准则的权值在线学习的分布式检测系统的融合算法。该算法能够根据观测数据的变化,自动在线调整权值大小,逐步改善系统的检测性能。计算机仿真结果表明,该算法能够较快地收敛到最优解。
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| 关 键 词： | 分布式检测系统 在线学习 融合 |
| 文章编号： | 1001-506X(2003)03-0263-04 |
| 修稿时间： | 2002-04-18 |
A Fusion Algorithm of On-Line Weight Learning for Distributed Detection System |
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| LIAO Dong-ping,WEI Xi-zhang,LI Xiang. A Fusion Algorithm of On-Line Weight Learning for Distributed Detection System[J]. System Engineering and Electronics, 2003, 25(3): 263-266 |
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| Authors: | LIAO Dong-ping WEI Xi-zhang LI Xiang |
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| Abstract: | Based on the minimum false probability criterion,this paper studies a fusion algorithm of on-line weight learning for distributed signal detection system. The algorithm can automatically adjust the weights based on the change of the observation data in order to improve the performance of the system. Computer simulation results show that the algorithm can rapidly converge to the optimum results. |
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| Keywords: | Distributed detection system On-line learning Fusion |
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