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Synthesis of Antenna Array Pattern Using Ant Lion Optimization Algorithm for Wide Null Placement and Low Dynamic Range Ratio

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Intelligent Computing Techniques for Smart Energy Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 607))

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Abstract

This paper proposes pattern synthesis for wide null placement using Ant Lion Optimization. The synthesis is modeled as a current amplitude-only optimization. In addition, the Dynamic Range Ratio (DRR) constraint-based optimization is proposed so as to minimize the complexity of array feed network and to reduce the inter-element coupling in the antenna array. For the synthesis of pattern with wide nulls and reduced Side Lobe Level (SLL), the proposed method offers 3 dB improvement in peak SLL minimization and 4 dB improvement in wide null depth. For DRR constraint-based array pattern synthesis, the proposed method yields superior performance in suppressing the SLL while reducing the DRR from 21.44 to 15.42.

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Correspondence to Prerna Saxena .

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Saxena, P., Kothari, A., Saxena, S. (2020). Synthesis of Antenna Array Pattern Using Ant Lion Optimization Algorithm for Wide Null Placement and Low Dynamic Range Ratio. In: Kalam, A., Niazi, K., Soni, A., Siddiqui, S., Mundra, A. (eds) Intelligent Computing Techniques for Smart Energy Systems. Lecture Notes in Electrical Engineering, vol 607. Springer, Singapore. https://doi.org/10.1007/978-981-15-0214-9_7

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  • DOI: https://doi.org/10.1007/978-981-15-0214-9_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0213-2

  • Online ISBN: 978-981-15-0214-9

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