2020
DOI: 10.1049/iet-map.2019.0327
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Synthesis of planar continuous current sources with arbitrary shapes for generation of desired radiation patterns by methods of moments and least squares

Abstract: Synthesis of planar continuous current sources (planar CCSs) with arbitrary shapes is developed for the generation of specified radiation patterns by method of moments (MoM) and method of least squares (MLS). First, an integral equation is expressed, which relates planar CCS current distribution to its radiation pattern. Second, the planar CCS region is divided into several segments and its current distribution is expressed in terms of the pulse expansion functions to discretise the integral equation. Third, t… Show more

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Cited by 3 publications
(4 citation statements)
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“…This involves performing a gradient update on the discriminator and a separate update on the generator. It is important to highlight that two different types of discriminators are utilized in this research, as illustrated in Figures (16)…”
Section: Conditional Gan Training and Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…This involves performing a gradient update on the discriminator and a separate update on the generator. It is important to highlight that two different types of discriminators are utilized in this research, as illustrated in Figures (16)…”
Section: Conditional Gan Training and Optimizationmentioning
confidence: 99%
“…In [7][8][9][10] analytical methods for arrayfactor synthesis have been proposed, conventional optimization algorithms have been used in [11,12], and global optimization techniques such as genetic algorithms and PSO algorithms have been employed in pattern synthesis problems in [13][14][15]. Adaptive algorithms employing the Least Mean Squares (LMS) technique have been documented in a study by [16]. Iterative algorithms like iterative FFT, known for their effectiveness and simplicity in array factor synthesis, were proposed in [17][18][19].…”
mentioning
confidence: 99%
“…In the array pattern optimization with some desired constraints such as low sidelobe level, narrow beam width, and controlled nulls, many of the design parameters could be saved by choosing their values non-adaptive [7][8][9][10]. Other techniques include the use of thinning process especially for the large planar arrays where the optimization processes are slow and difficult [11][12][13][14][15][16]. To overcome such problems, many researchers suggested using analytical methods rather than complex optimization based-iterative methods [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…We used the binomial method because it gives a good performance with a minimum sidelobe level than the others [6]. Other methods such as in [7][8][9], using the Real Coded Genetic Algorithm (RCGA), result in a larger array size than the original, which may be considered a drawback. To reduce the sidelobe level of the array antenna, we must take into account scan direction, beam width, and type of antenna element used.…”
Section: Introductionmentioning
confidence: 99%