Open AccessBayesian Regression Analysis of Spatio-temporal Location Information of Ship Electromagnetic Signal
Author(s) -
Min Wang,
ChiaChung Sun,
Rangcheng Wu,
Xiaobo Shi
Publication year - 2022
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 - 10.1088/1742-6596/2218/1/012010
Subject(s) - bayesian probability , credibility , identification (biology) , computer science , regression , regression analysis , prior information , bayesian linear regression , data mining , sample (material) , signal (programming language) , artificial intelligence , pattern recognition (psychology) , bayesian inference , statistics , machine learning , mathematics , botany , chemistry , chromatography , political science , law , biology , programming language
For spatio-temporal location information of electromagnetic signals according to maritime ship targets, the regression model based on Bayesian statistics is established based on the Bayesian estimation method, and some examples are analyzed. The results show that the model reduces the error, improves the accuracy of the sample data, significantly improves the data pretreatment effect, and effectively facilitates the further modeling and analysis of the target identification problem, so as to increase the credibility of the ship target identification.