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Pattern Recovery in Linear Arrays Using Grasshopper Optimization Algorithm

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Microelectronics, Electromagnetics and Telecommunications

Abstract

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.

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References

  1. Raju GSN (2004) Antennas and wave propagation, Pearson Education (Singapore) Pvt. Ltd., International Edition

    Google Scholar 

  2. Hansen RC (2009) Phased array antennas, 2nd edn. Wiley, New York

    Book  Google Scholar 

  3. Chakravarthy VVSSS, Rao PM (2015) Amplitude-only null positioning in circular arrays using genetic algorithm. In: 2015 IEEE international conference on electrical, computer and communication technologies (ICECCT), Coimbatore, pp 1–5, Mar 2015

    Google Scholar 

  4. Swathi AVS, Chakravarthy VVSSS (2020) Synthesis of constrained patterns of circular arrays using social group optimization algorithm. In: Satapathy S, Bhateja V, Mohanty J, Udgata S (eds) Smart intelligent computing and applications. Smart innovation, systems and technologies, vol 160. Springer, Singapore

    Google Scholar 

  5. Chakravarthy VVSSS, Rao PM (2015) On the convergence characteristics of flower pollination algorithm for circular array synthesis. In: 2nd international conference on electronics and communication systems ICECS 2015, no. Icecs, pp 485–489

    Google Scholar 

  6. Chakravarthy VVSSS, Chowdary PSR, Panda G, Anguera J, Andújar A, Majhi B (2018) On the linear antenna array synthesis techniques for sum and difference patterns using flower pollination algorithm. Arab J Sci Eng 43(8):3965–3977

    Article  Google Scholar 

  7. Chakravarthy VS, Chowdary PSR, Satpathy SC, Terlapu SK, Anguera J Antenna array synthesis using social group optimization. In: Microelectronics, Electromagnetics and Telecommunications, pp 895–905

    Google Scholar 

  8. Paladuga CS, Vedula CV, Anguera J, Mishra RK, Andújar A Performance of beamwidth constrained linear array synthesis techniques using novel evolutionary computing tools. Appl Comput Electromag Soc J 33(3): 273–278

    Google Scholar 

  9. Mailloux RJ (1996) Array failure correction with digitally beamformed array. IEEE Trans Antennas Propag 44(12):1543–1550

    Article  Google Scholar 

  10. Acharya OP, Patnaik A (2017) Antenna array failure correction [antenna applications corner]. IEEE Antennas Propag Mag 59(6):106–115. https://doi.org/10.1109/MAP.2017.2752683

    Article  Google Scholar 

  11. Patnaik A, Chowdhury B, Pradhan P, Mishra RK, Christodolou C (2007) An ANN application for fault finding in antenna arrays. IEEE Trans Antennas Propag AP 55(3):775–777

    Article  Google Scholar 

  12. Saremi S, Mirjalili S, Lewisa A (2017) Grasshopper optimisation algorithm: theory and application. Adv Eng Softw 105:30–47

    Article  Google Scholar 

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Correspondence to V. V. S. S. S. Chakravarthy .

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Chakravarthy, V.V.S.S.S., Chowdary, P.S.R., Anguera, J., Mokara, D., Satapathy, S.C. (2021). Pattern Recovery in Linear Arrays Using Grasshopper Optimization Algorithm. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_78

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  • DOI: https://doi.org/10.1007/978-981-15-3828-5_78

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3827-8

  • Online ISBN: 978-981-15-3828-5

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