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


Caylar S., Dural G., Leblebicioglu K.

IET MICROWAVES ANTENNAS & PROPAGATION, vol.4, no.2, pp.153-161, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 4 Issue: 2
  • Publication Date: 2010
  • Doi Number: 10.1049/iet-map.2008.0215
  • Journal Name: IET MICROWAVES ANTENNAS & PROPAGATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.153-161
  • Middle East Technical University Affiliated: Yes

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.