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A new neural network approach to the target tracking problem with smart structure
Author(s) -
Çaylar Selçuk,
Leblebicioğlu Kemal,
Dural Gülbin
Publication year - 2006
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2005rs003301
Subject(s) - artificial neural network , tracking (education) , computer science , uncorrelated , algorithm , time delay neural network , artificial intelligence , mathematics , psychology , pedagogy , statistics
A modified neural network–based algorithm (modified neural multiple‐source tracking algorithm (MN‐MUST)) is proposed for real‐time multiple‐source tracking problem. The proposed approach reduced the input size of the neural network without any degradation of the accuracy of the system for uncorrelated sources. In addition, a spatial filtering stage that considerably improves the performance of the system is proposed to be inserted. It is observed that the MN‐MUST algorithm provides an accurate and efficient solution to the target‐tracking problem in real time.