Title :
Neural network method for direction of arrival estimation with uniform cylindrical microstrip patch array
Author :
Caylar, S. ; Dural, G. ; Leblebicioglu, Kemal
Author_Institution :
Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
Abstract :
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.
Keywords :
antenna radiation patterns; direction-of-arrival estimation; filtering theory; microstrip antenna arrays; neural nets; real-time systems; telecommunication computing; array elements; cylindrical patch antenna array; direction of arrival estimation; directive pattern; microstrip patch elements; modified neural multiple source tracking algorithm; neural network algorithm; neural network method; real-time multiple source tracking problem; spatial filtering performance; uniform cylindrical microstrip patch array;
Journal_Title :
Microwaves, Antennas & Propagation, IET
DOI :
10.1049/iet-map.2008.0215