基于N-P准则的水声信号检测系统信息融合

基金项目: 国防科技重点实验室基金资助项目（514460401，514401020）

详细信息

INFORMATION FUSION OF UNDERWATER ACOUSTIC SIGNAL DETECTION BASED ON N-P CRITERION

1.
Institue of Acoustic Engineering, Northwestern Polytechnic University, Xi'an 710072, China
2.
Xi'an Jiaotong University, Xi'an, 710049, China

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．
- 多传感器 /
- 分布式检测 /
- 信息融合 /
- 水声信号
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.
- multi-sensor /
- distributed detection /
- information fusion /
- sonar signal

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