| 分布式无源检测系统中自适应检测融合 |
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| 引用本文： | 陶然,王甜,赵娟.分布式无源检测系统中自适应检测融合[J].北京理工大学学报,2005,25(3):265-267. |
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| 作者姓名： | 陶然 王甜 赵娟 |
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| 作者单位： | 北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081 |
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| 基金项目： | 国家自然科学基金
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高等学校优秀青年教师教学科研奖励计划 |
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| 摘 要： | 针对在分布式多基地雷达无源检测系统中,检测概率通常未知或时变的信息不完全的检测融合问题,研究了一种在线自适应检测融合算法,该算法基于Neyman-Pearson准则,通过局部判决估计未知的每个接收站的检测概率,从而实现最优判决融合.计算机仿真结果说明了其有效性.
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| 关 键 词： | 分布式检测 Neyman-Pearson准则 最优判决融合 自适应算法 |
| 文章编号： | 1001-0645(2005)03-0265-03 |
| 收稿时间： | 5/5/2004 12:00:00 AM |
| 修稿时间： | 2004年5月5日 |
Adaptive Decision Fusion for Distributed Passive Detection System |
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| TAO Ran,WANG Tian and ZHAO Juan.Adaptive Decision Fusion for Distributed Passive Detection System[J].Journal of Beijing Institute of Technology(Natural Science Edition),2005,25(3):265-267. |
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| Authors: | TAO Ran WANG Tian and ZHAO Juan |
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| Institution: | Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China |
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| Abstract: | For decision fusion in a distributed passive detection system, the probabilities of detection of each receiver may be unknown or vary with time. An on-line adaptive decision fusion algorithm is presented. The algorithm is based on Neyman-Pearson criterion. The algorithm uses local decisions to estimate the unknown probabilities of the detection of each receiver to implement an optimal decision fusion. Computer simulation results demonstrate its feasibility and effectiveness. |
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| Keywords: | distributed detection Neyman-Pearson criterion optimal decision fusion adaptive algorithm |
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