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Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A Feedback Particle Swarm Optimization (FPSO) with a family of fitness functions is proposed to minimize sidelobe level (SLL) and control null.
In order to search in a large initial space and converge fast in local space to a refined solution, a FPSO with nonlinear inertia weight algorithm is developed, which is determined by a subtriplicate function with feedback taken from the fitness of the best previous position.
The optimized objectives in the fitness function can obtain an accurate null level independently.
The directly constrained SLL range reveals the capability to reduce SLL.
Considering both element positions and complex weight coefficients, a low-level SLL, accurate null at specific directions, and constrained main beam are achieved.
Numerical examples using a uniform linear array of isotropic elements are simulated, which demonstrate the effectiveness of the proposed array pattern synthesis approach.
American Psychological Association (APA)
Han, Chuang& Wang, Ling. 2016. Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight. International Journal of Antennas and Propagation،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1105081
Modern Language Association (MLA)
Han, Chuang& Wang, Ling. Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight. International Journal of Antennas and Propagation No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1105081
American Medical Association (AMA)
Han, Chuang& Wang, Ling. Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight. International Journal of Antennas and Propagation. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1105081
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105081