Open AccessAn Improved Radar Emitter Recognition Method Based on Dezert‐Smarandache Theory
Author(s) -
Chen Changxiao,
He Minghao,
Li Hongfei
Publication year - 2015
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2015.07.029
Subject(s) - computer science , common emitter , radar , artificial intelligence , pattern recognition (psychology) , reliability engineering , remote sensing , materials science , optoelectronics , telecommunications , engineering , geology
The parameters of radar emitter are fast changing in the current complicated electro magnetic environment, and the radar emitter recognition rate which used single sensor method cannot satisfied. To solve the problem, an improved radar emitter recognition method based on Dezert‐Smarandache theory is proposed, which can improve proportional conflict redistribution rule to solve fuzzy and conflicting information from radar emitter. Some examples are given to show the validity of the improved method.