Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
Shafqat Ullah Khana, M. K. A. Rahima, Murtala Aminu-Babab✉, Noor Asniza Murada
- aAdvanced RF & Microwave Research Group, Department of Communication Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
- bDepartment of Computer and Communications Engineering, Faculty of Engineering and Engineering Technology, Abubakar Tafawa University, Yelwa Bauchi, Nigeria
- ✉Corresponding author
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Abstract
This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pursuit (OMP) technique. Numerical simulation examples of linear arrays are offered to demonstrate the effectiveness of getting the wanted power pattern with a reduced number of antenna sensors which is compared with the available techniques in terms of sidelobes level and number of nulls.
TL;DRThis paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO technique which can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pursuit (OMP) technique. (Semantic Scholar)