Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm

Caylar S., Dural G., Leblebicioglu K.

IEEE Antennas-and-Propagation-Society International Symposium, California, Amerika Birleşik Devletleri, 5 - 11 Temmuz 2008, ss.1524-1527 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: California
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1524-1527
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.