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

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

12
views

0
downloads

[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

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, vol. 41, no. 5, pp. 0–0, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38108.