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基于N-P准则的水声信号检测系统信息融合
引用本文:白银生,赵俊渭,相明.基于N-P准则的水声信号检测系统信息融合[J].信息与控制,2003,32(6):517-521.
作者姓名:白银生  赵俊渭  相明
作者单位:1. 西北工业大学声学工程研究所,陕西,西安,710072
2. 西安交通大学信控学院,陕西,西安,710049
基金项目:国防科技重点实验室基金资助项目(514460401,514401020)
摘    要:多基阵数据融合技术在水声信号处理中具有重要意义,本文给出了基于Neyman Pearson准则的多传感器分布式水声检测信息融合系统.研究了全局最优融合系统以及局部传感器的最优判决准则.在假定各传感器检测独立的情况下,对三传感器的情况进行了仿真.结果表明,检测系统的性能有明显提高.

关 键 词:多传感器  分布式检测  信息融合  水声信号
文章编号:1002-0411(2003)06-0517-04

INFORMATION FUSION OF UNDERWATER ACOUSTIC SIGNAL DETECTION BASED ON N-P CRITERION
BAI Yin-sheng ,ZHAO Jun-wei ,XIANG Ming.INFORMATION FUSION OF UNDERWATER ACOUSTIC SIGNAL DETECTION BASED ON N-P CRITERION[J].Information and Control,2003,32(6):517-521.
Authors:BAI Yin-sheng  ZHAO Jun-wei  XIANG Ming
Affiliation:BAI Yin-sheng 1,ZHAO Jun-wei 1,XIANG Ming 2
Abstract:The multi-sensor data fusion plays a valuable role in the underwater acoustic signal processing. In this paper, a multi-sensor distributed detection data fusion system based on Neyman-Pearson criterion is presented. The global optimal multi-sensor data fusion system and the local optimal decision rules are studied, respectively. On the condition that all sensors conduct the detection independently, simulations are carried out for triple-sensor data fusion, and the results show that the novel system has better performance.
Keywords:multi-sensor  distributed detection  information fusion  sonar signal
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