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

2010-02-01
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.

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, vol. 4, no. 2, pp. 153–161, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44041.