Paper Title :Detection of Defective Sensors from Compressed Measurement using Orthogonal Matching Pursuit

Author :Shafqat Ullah Khan, Sardar Ali, Muhammad Arshad, Atif Ellahi Khan Khalil

Article Citation :Shafqat Ullah Khan ,Sardar Ali ,Muhammad Arshad ,Atif Ellahi Khan Khalil , (2019 ) " Detection of Defective Sensors from Compressed Measurement using Orthogonal Matching Pursuit " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 38-42, Volume-7,Issue-5

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.

Type : Research paper

Published : Volume-7,Issue-5

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