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A Novel Neural Network Method for Direction of Arrival Estimation with Uniform Cylindrical 12-Element Microstrip Patch Array
Date
2008-01-01
Author
Caylar, Selcuk
Dural, Guelbin
Leblebicioğlu, Mehmet Kemal
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this study a new neural network algorithm is proposed for real time multiple source tracking problem with cylindrical patch antenna array based on a previous v reported Modified Neural Multiple Source Tracking Algorithm(MN-MUST). The proposed algorithm, namely Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm (CMN-MUST) implements W-MUST algorithm on a cylindrical microsttip patch array structure. 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. It is observed that the CMN-MUST algorithm provides an accurate and efficient solution to the target-tracking problem in real time.
Subject Keywords
Antennas
,
Microstrip
,
Arrays
,
Artificial neural networks
,
Microstrip antenna arrays
,
Microstrip antennas
,
Algorithm design and analysis
,
Antennas and propagation
URI
https://hdl.handle.net/11511/47594
DOI
https://doi.org/10.1109/siu.2008.4632550
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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S. Caylar, G. Dural, and M. K. Leblebicioğlu, “A Novel Neural Network Method for Direction of Arrival Estimation with Uniform Cylindrical 12-Element Microstrip Patch Array,” 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47594.
