Pattern Recovery in Linear Arrays Using Grasshopper Optimization Algorithm

  • V. V. S. S. S. ChakravarthyEmail author
  • P. Satish Rama Chowdary
  • Jaume Anguera
  • Divya Mokara
  • Suresh Chandra Satapathy
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 655)


In this paper, the technique of restoring the pattern even after the element failure is demonstrated in linear arrays (LA). The process involves in determining the amplitude excitation coefficients of each element in the linear array using grasshopper algorithm (GHA). Linear array with 20 elements is considered for the implementation, while the analysis is carried out using the radiation pattern in terms of side lobe level. Two cases of element failure are considered. In the first case, second element failure is inflicted, while in the second case, the same is repeated with 30-element linear array. The simulation is carried out using MATLAB, and the results are analyzed using the corresponding radiation pattern plots and convergence plots.


Grasshopper optimization Linear array antenna Element failure Pattern recovery 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • V. V. S. S. S. Chakravarthy
    • 1
    Email author
  • P. Satish Rama Chowdary
    • 1
  • Jaume Anguera
    • 2
    • 3
  • Divya Mokara
    • 1
  • Suresh Chandra Satapathy
    • 4
  1. 1.Department of Electronics and Communications EngineeringRITVisakhapatnamIndia
  2. 2.Department of Electronics and TelecommunicationsUniversitat Ramon LlullBarcelonaSpain
  3. 3.Technology DepartmentFractus AntennasBarcelonaSpain
  4. 4.School of Computer EngineeringKIIT Deemed to be UniversityBhubaneswarIndia

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