A New Adaptive Beamforming of Multiband Fractal Antenna Array in Strong-Jamming Environment

El‐Khamy, Said E.; EL-Sayed, Huda F.; Eltrass, Ahmed S.

doi:10.1007/s11277-022-09745-4

Cited by 9 publications

(5 citation statements)

References 36 publications

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“…In the literature, there are many structures of the fractal arrays. 1,2 The simplest one is the cantor linear array that is based on the cantor set as an initial self-similar generator, 3 while the Sierpinski carpet planar array is the most common one that widely used in many multiband array antenna applications. 4 There are other structures including hexagonal, pentagonal arrays, 5 Piano-Gosper space-filling curve, 6 Minkowski island, and Koch loop.…”

Section: Introductionmentioning

confidence: 99%

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

Mohammed

2024

Int J Communication

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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.

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Section: Introductionmentioning

confidence: 99%

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

Mohammed

2024

Int J Communication

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“…Direction of arrival (DOA) estimation plays an important role in array signal processing, explored in several wireless applications, including radar systems, mobile communications, and seismic sensing [1,2]. DOA estimation algorithms can be used for array pattern synthesis of various antenna arrays with arbitrary configurations [3][4][5][6]. In practical applications, most wireless systems require wideband signals rather than narrowband signals.…”

Section: Introductionmentioning

confidence: 99%

A Compressive Sensing Based Computationally Efficient High-Resolution DOA Estimation of Wideband Signals Using Generalized Coprime Arrays

El-Khamy,

El-Shazly,

Eltrass

2024

Wireless Pers Commun

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Most recent state-of-the-art wideband direction of arrival (DOA) estimation techniques achieve reasonable accuracy at the expenses of high computational complexity. In this paper, a new computationally efficient approach based on compressive sensing (CS) is introduced for high resolution wideband DOA estimation. The low software complexity is achieved utilizing CS with deterministic chaotic Chebyshev sensing matrices that allow reducing the measurement vector dimension, while the high-resolution DOA estimation is acquired utilizing an efficient generalized coprime array configuration. The effectiveness of the introduced approach in enhancing the DOA estimation precision and reducing the computational complexity is studied along with a detailed comparison between three state-of-the-art wideband DOA estimation techniques, namely incoherent signal subspace method (ISSM), focusing signal subspace (FSS), and modified test of orthogonality of projected subspaces (mTOPS) with and without applying the proposed CS technique. The performance is examined utilizing various assessment metrics such as the spatial spectrum, the computational time, and the root mean square error between estimated and actual DOAs when varying the signal-to-noise ratio and number of elements. Results reveal that applying the proposed CS technique to the three algorithms (ISSM, FSS, and mTOPS) provides significant reduction in the execution time needed for the DOA estimation without affecting the resolution accuracy under various set of parameters. This reveals the importance of the proposed approach in wideband wireless communication systems.

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“…Thus, these arrays can be expanded to build larger fractal arrays. Many forms of fractal arrays can be built, such as Sierpinski carpet, Sierpinski gasket, and other types [14,15]. Although fractal arrays have many advantages, they suffer from generating a high level of side lobes.…”

Section: Introductionmentioning

confidence: 99%

An Optimization of Subarrayed Planar Array Pattern via Fractal Structure Thinning

Abdulqader

2024

PIER M

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Dividing large planar arrays into several subarrays and then turning off some of them reduces the complexity (cost) of the system significantly. In this paper, two optimization stages for the formation of planar subarrays and the removal of some of them are proposed. The first optimization stage improves the pattern of the original planar array after dividing it into a set of rotational square and rectangular subarrays. In the second optimization stage, it works to remove some of the subarrays completely or partially, depending on new fractal structures derived from the conventional Sierpinski carpet structure. The proposed fractal-thinned planar array is based on amplitude-only excitation, i.e., the phases of the elements are set to zero. To execute the optimization steps above, a genetic algorithm (GA) is used. Some determinants are included in the optimization process to maintain the properties of the desired pattern. Simulation results showed the effectiveness of the proposed optimization method in achieving almost the same performance in both stages of optimization.

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A New Adaptive Beamforming of Multiband Fractal Antenna Array in Strong-Jamming Environment

Cited by 9 publications

References 36 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

A Compressive Sensing Based Computationally Efficient High-Resolution DOA Estimation of Wideband Signals Using Generalized Coprime Arrays

An Optimization of Subarrayed Planar Array Pattern via Fractal Structure Thinning

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