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

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This work is licensed under a 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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Citation Formats

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.