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Shafqat Ullah Khan
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.
Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique Shafqat Ullah Khan; M. K. A. Rahim; I. M. Qureshi; N. A. Murad
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 2: April 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.752 KB) | DOI: 10.11591/ijece.v7i2.pp961-966

Abstract

In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the  minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements.
Co-Authors Atif Ellahi Khan Khalil I. M. Qureshi M. K. A. Rahim Murtala Aminu-Baba N. A. Murad Sardar Ali