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2015 | OriginalPaper | Buchkapitel

QPSO for Synthesis of Scanned Linear Array Antenna for Fixed Side Lobe Level and First Null Beam Width Including Wide Null Placement

verfasst von : Hemant Patidar, Gautam Kumar Mahanti

Erschienen in: Intelligent Computing and Applications

Verlag: Springer India

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Abstract

In this research paper, quantum particle swarm optimization (QPSO) algorithm, an algorithm founded on the basic theory of particle cluster and properties of quantum mechanics, has been introduced for design of uniformly spaced scanned linear array antennas with definite value of sidelobe level (SLL), first null beam width (FNBW), and broad null depth. An effort is made such that these parameters are made equal to their related specific values. This is usually done by changing excitation current amplitude of the elements. The expression of array factor is derived by using the property of linear array antennas. One example has been presented with 35 isotropic antennas. Generated Pattern is scanned to an angle of 30°. The obtained results have shown that this technique is able to find required value of SLL, FNBW, and wide null depth. Although, the proposed method is developed and applied to a linear array of isotropic antennas; however, the principle can easily be applied to other types of arrays.

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Metadaten
Titel
QPSO for Synthesis of Scanned Linear Array Antenna for Fixed Side Lobe Level and First Null Beam Width Including Wide Null Placement
verfasst von
Hemant Patidar
Gautam Kumar Mahanti
Copyright-Jahr
2015
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2268-2_21