Design optimization of circular antenna arrays using Taguchi method

BABAYİĞİT B., ŞENYİĞİT E.

NEURAL COMPUTING & APPLICATIONS, cilt.28, sa.6, ss.1443-1452, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 6
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s00521-015-2162-y
  • Dergi Adı: NEURAL COMPUTING & APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1443-1452
  • Anahtar Kelimeler: Taguchi method, Antenna arrays, Circular array, Meta-heuristic algorithms, Optimization techniques, CLONAL SELECTION ALGORITHM
  • Erciyes Üniversitesi Adresli: Evet

Özet

This paper presents the application of Taguchi method (TM) to design optimization of non-uniform circular antenna array (CAA) for suppression of sidelobe levels (SLLs). TM, a robust design approach, takes signal-to-noise ratio and orthogonal array tools from the statistical design of experiments. These tools allow instead of full factorial parametric analysis minimize the design parameters; thus, increase the convergence speed and generate more accurate solutions. TM is used to determine an optimal set of amplitudes and positions of CAA for 8, 10, and 12 elements. Comparison of the results of the TM with those of latest meta-heuristic algorithms in the literature reveals that the CAA design with TM provides the best SLL reduction performance in all cases.