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Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm
Date
2008-07-11
Author
Caylar, Selcuk
Dural, Guelbin
Leblebicioğlu, Mehmet Kemal
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this study Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm (CMN-MUST) is proposed. CMN-MUST implements previously reported Modified Neural Multiple Source Tracking Algorithm (MN-MUST). CMN-MUST algorithm uses the advantage of directive pattern of microstrip patch elements by considering only a part of array elements for a chosen sector. This reduces neural network sizes and also improves the spatial filtering performance. The proposed algorithm improves MN-MUST algorithm in the sense of accuracy and speed while covering the full azimuth range.
Subject Keywords
Antenna
URI
https://hdl.handle.net/11511/54994
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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S. Caylar, G. Dural, and M. K. Leblebicioğlu, “Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm,” 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54994.
