Research on the Strategy of Underwater United Detection Fusion and Communication Using Multi-sensor

被引:0
|
作者
Zhenhua Xu
机构
基金
中国国家自然科学基金;
关键词
detection fusion; likelihood ratio test(LRT); Neyman-Pearson(NP); low signal to noise ratio;
D O I
暂无
中图分类号
U675.7 [船舶导航与通信];
学科分类号
081105 ;
摘要
In order to solve the distributed detection fusion problem of underwater target detection, when the signal to noise ratio (SNR) of the acoustic channel is low, a new strategy for united detection fusion and communication using multiple sensors was proposed. The performance of detection fusion was studied and compared based on the Neyman-Pearson principle when the binary phase shift keying (BPSK) and on-off keying (OOK) modes were used by the local sensors. The comparative simulation and analysis between the optimal likelihood ratio test and the proposed strategy was completed, and both the theoretical analysis and simulation indicate that using the proposed new strategy could improve the detection performance effectively. In theory, the proposed strategy of united detection fusion and communication is of great significance to the establishment of an underwater target detection system.
引用
收藏
页码:358 / 363
页数:6
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