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I. M. Qureshi
Air University Islamabad, Pakistan
Computer Science & IT Electrical & Electronics Engineering

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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 M. K. A. Rahim N. A. Murad Shafqat Ullah Khan