DocumentCode
2135597
Title
Fuzzy logic for underwater target noise recognition
Author
Wang, Jinlin ; Li, Qihu ; Wei, Wei
Author_Institution
Inst. of Acoustics, Acad. Sinica, Beijing, China
fYear
1993
fDate
1993
Firstpage
588
Abstract
Underwater target noise recognition in modern sonar design is considered. The target noise is divided into five types, and their characteristics in the frequency domain are described. A fuzzy logic algorithm for passive classification is presented. An expert system based on this inference logic for target noise recognition is introduced. Some test data for the expert system show that it has good performance and can be considered as an excellent tool for auxiliary decision-making by the sonar operator
Keywords
expert systems; fuzzy logic; pattern recognition; sonar; underwater sound; auxiliary decision-making; expert system; frequency domain; fuzzy logic; inference logic; passive classification; sonar; underwater target noise recognition; Expert systems; Fingers; Frequency domain analysis; Fuzzy logic; Fuzzy set theory; Humans; Inference mechanisms; Marine vehicles; System testing; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0614-7
Type
conf
DOI
10.1109/FUZZY.1993.327422
Filename
327422
Link To Document