Neural network method for direction of arrival estimation with uniform cylindrical microstrip patch array

Caylar, S.
Dural, G.
Leblebicioğlu, Mehmet Kemal
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 previously reported Modified Neural Multiple Source Tracking (MN-MUST) algorithm. The proposed algorithm, namely cylindrical microstrip patch array modified neural multiple source tracking (CMN-MUST) algorithm implements MN-MUST algorithm on a cylindrical microstrip 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.


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Citation Formats
S. Caylar, G. Dural, and M. K. Leblebicioğlu, “Neural network method for direction of arrival estimation with uniform cylindrical microstrip patch array,” IET MICROWAVES ANTENNAS & PROPAGATION, pp. 153–161, 2010, Accessed: 00, 2020. [Online]. Available: