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A new neural network approach to the target tracking problem with smart structure
Date
2006-10-03
Author
Caylar, Selcuk
Leblebicioğlu, Mehmet Kemal
Dural, Guelbin
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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[1] 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.
Subject Keywords
Electrical and Electronic Engineering
,
General Earth and Planetary Sciences
,
Condensed Matter Physics
URI
https://hdl.handle.net/11511/38108
Journal
RADIO SCIENCE
DOI
https://doi.org/10.1029/2005rs003301
Collections
Department of Electrical and Electronics Engineering, Article
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A new neural network approach to the target tracking problem with smart structure
Caylar, Selcuk; Leblebicioğlu, Mehmet Kemal; Dural, Gülbin (2006-12-01)
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S. Caylar, M. K. Leblebicioğlu, and G. Dural, “A new neural network approach to the target tracking problem with smart structure,”
RADIO SCIENCE
, pp. 0–0, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38108.