Open AccessResearch on fusion detection of centralized mobile target based on seismic wave sensor
Author(s) -
Xuwei Zhu,
Li Ao-feng,
Shiwen He
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1930/1/012007
Subject(s) - fusion , sensor fusion , computer science , mode (computer interface) , energy (signal processing) , real time computing , pattern recognition (psychology) , artificial intelligence , algorithm , data mining , mathematics , statistics , philosophy , linguistics , operating system
Aiming at the limitation of single sensor detection and the deficiency of low information utilization rate in distributed fusion mode, according to the characteristics of strong energy and long propagation distance on free surface of seismic wave and the advantages of centralized fusion detection method, a centralized fusion detection algorithm based on Neyman-Pearson criterion is proposed. The probability formula of single sensor detection and centralized fusion detection is deduced and simulated. Through the experiment of ground maneuvering target, it is proved that the algorithm can effectively improve the detection probability and performance of the target.