DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-5 ( May, 2019 ) | |||||||||
Paper Title |
Detection of Defective Sensors from Compressed Measurement using Orthogonal Matching Pursuit | |||||||||
Author Name |
Shafqat Ullah Khan, Sardar Ali, Muhammad Arshad, Atif Ellahi Khan Khalil | |||||||||
Affilition |
Department of Electronics University of Buner, Pakistan Electrical Department, COMSAT Institute of Information Technology Attock, Pakistan | |||||||||
Pages |
38-42 | |||||||||
Abstract |
In this paper, a greedy algorithm called Orthogonal Matching Pursuit (OMP) can reliably diagnose faulty sensors in array antenna from compressed measurements. This technique starts from collecting the measurements of the far-field pattern generated by the array under test. The difference between the measured healthy reference array pattern and collected measurement is minimized using a greedy algorithm. The simulation results based on OMP validate the detection of faulty sensors from compressed number of measurements. Keywords - Antenna Measurements, Compressed Sensing, Fault Detection, Orthogonal Matching Pursuit. | |||||||||
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