Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm


Caylar S., Dural G., Leblebicioglu K.

IEEE Antennas-and-Propagation-Society International Symposium, California, United States Of America, 5 - 11 July 2008, pp.1524-1527 identifier

  • Publication Type: Conference Paper / Full Text
  • City: California
  • Country: United States Of America
  • Page Numbers: pp.1524-1527

Abstract

In this study Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm (CMN-MUST) is proposed. CMN-MUST implements previously reported Modified Neural Multiple Source Tracking Algorithm (MN-MUST). 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.