Thinning of Sierpinski fractal array antennas using bounded binary fractal-tapering techniques for space and advanced wireless applications

Ponnapalli, V. A. Sankar; Jayasree, P. V. Y.

doi:10.1016/j.icte.2017.12.006

Cited by 3 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…15,16 Very few studies used optimization algorithms with fractal array antennas to optimally reduce the number of the thinned elements in the fractal array geometry for the purpose of improving the directivity and lowering the peak sidelobes. 17 In this paper, a genetic optimization algorithm is used to design the fractal linear and planar array antennas. Nevertheless, other optimization algorithms such as particle swarm optimization (PSO) and artificial intelligence (AI) may be use equally to optimize the proposed fractal array.…”

Section: Introductionmentioning

confidence: 99%

“…To date, the optimization algorithms were mostly used to synthesis ordinary array antennas by optimizing element excitation amplitudes and phases, 10–12 inter‐element spacing, 13,14 and array geometry including subarrays 15,16 . Very few studies used optimization algorithms with fractal array antennas to optimally reduce the number of the thinned elements in the fractal array geometry for the purpose of improving the directivity and lowering the peak sidelobes 17 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel linear and planar multiband fractal‐shaped antenna arrays with low sidelobes

Mohammed

2024

Int J Communication

View full text Add to dashboard Cite

SummaryFractal antenna arrays are usually used to tune multiband frequencies. However, these types of iteratively constructed antennas are associated with undesirable high sidelobe levels and low directivities. In this paper, an optimization procedure based on the genetic algorithm is used to find the optimal weights of the array elements such that the corresponding array patterns have low sidelobe levels and good directivity. Moreover, the fractal nature in the proposed arrays is maintained regardless of the optimized weights. Thus, the proposed fractal‐shaped array maintains its capability in performing multiband frequency operation. These good radiation features make the proposed fractal‐shaped array more appropriate for the current and future wireless communication applications. Simulation results confirm the superiority of the presented linear and planar fractal‐shaped array structures with compared to the conventional fractal cantor linear array and the standard Sierpinski carpet planar array. For the proposed fractal cantor linear array, the sidelobe level has been reduced to more than −20 dB at different operating frequencies, and the directivity has been improved by more than 8 dB, while the modified Sierpinski carpet planar array has achieved −30 dB depressions in the sidelobe level and 6 dB improvement in the directivity.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel linear and planar multiband fractal‐shaped antenna arrays with low sidelobes

Mohammed

2024

Int J Communication

View full text Add to dashboard Cite

show abstract

State of the Art: A Review on Vehicular Communications, Impact of 5G, Fractal Antennas for Future Communication

Rahim

Malik

Ponnapalli³

2020

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Optimizing Performance of Antenna Arrays with Clustered Fractal Shapes for Multiband Applications

Mohammed,

Al-Khafaf

2024

JTIT

View full text Add to dashboard Cite

Fractal antennas are mainly used in multiband applications. However, these types of arrays suffer from numerous disadvantages, such as high sidelobe levels, low directivity, poor taper efficiency, and high design computational complexity. In this paper, the conventional fractal procedures are redesigned and efficient clustered subarrays are deployed, such that their multiband properties are maintained while simultaneously achieving significant improvements in radiation characteristics. A genetic optimization algorithm is used to find the optimal clustered fractal shapes and their associated amplitude distributions, such that the sidelobe levels are minimized at the narrower beam width, i.e. maximum feasible directivity. Since the optimization process is carried out at the clustered level, it can be represented by merely a few variables, which solves the problem of time intensity. Simulation results confirm the superiority of the proposed clustered fractal array, where the sidelobe level has been reduced to more than -10 dB over a wide range of frequencies. Directivity and taper efficiency have been improved by more than 6 dB and 50%, respectively, in comparison to the parameters of conventional, original fractal arrays. Moreover, the proposed fractal array pattern offers an additional advantage, as it is capable of wide sidelobe nulling at some undesired directions.

show abstract

Thinning of Sierpinski fractal array antennas using bounded binary fractal-tapering techniques for space and advanced wireless applications

Cited by 3 publications

References 13 publications

A novel linear and planar multiband fractal‐shaped antenna arrays with low sidelobes

A novel linear and planar multiband fractal‐shaped antenna arrays with low sidelobes

State of the Art: A Review on Vehicular Communications, Impact of 5G, Fractal Antennas for Future Communication

Optimizing Performance of Antenna Arrays with Clustered Fractal Shapes for Multiband Applications

Contact Info

Product

Resources

About