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Murtala Aminu-Baba
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm Shafqat Ullah Khan; M. K. A. Rahim; Murtala Aminu-Baba; Atif Ellahi Khan Khalil; Sardar Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.314 KB) | DOI: 10.11591/ijece.v8i3.pp1870-1874

Abstract

Detection and correction of faulty elements in a linear array have great importance in radar, sonar, mobile communications and satellite. Due to single element failure, the whole radiation pattern damage in terms of side lobes level and nulls. Once we have detect the position of defective element, then correction method is applied to achieve the desired pattern. In this work, we introduce a nature inspired meta-heuristic cuckoo search algorithm to diagnose the position of defective elements in a linear array. The nature inspired cuckoo search algorithm is new to the optimization family and is used first time for fault detection in an array antenna. Cuckoo search algorithm is a global search optimization technique. The cost function is used as a fitness function which defines an error between the degraded far field power pattern and the estimated one. The proposed technique is used effectively for the diagnosis of complete, as well as, for partial faulty elements position. Different simulation results are evaluated for 40 elements Taylor pattern to validate and check the performance of the proposed technique.
Co-Authors Atif Ellahi Khan Khalil M. K. A. Rahim Sardar Ali Shafqat Ullah Khan