Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique

PLoS One. 2017 Dec 18;12(12):e0189240. doi: 10.1371/journal.pone.0189240. eCollection 2017.

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.

MeSH terms

  • Algorithms*
  • Computer Communication Networks*
  • Computer Simulation
  • Numerical Analysis, Computer-Assisted

Grants and funding

The authors thank the Ministry of Higher Education (MOHE) for supporting the research work; Research Management Centre (RMC), School of Postgraduate Studies (SPS), Communication Engineering Department, Faculty of Electrical Engineering (FKE), Universiti Teknologi Malaysia (UTM) Johor Bahru under grant number 12H09 and 03E20.