Aperiodic Antenna Array for Secondary Lobe Suppression

Gabrielli, Lucas H.; Hernandez-Figueroa, Hugo E.

doi:10.1109/lpt.2015.2492419

Cited by 29 publications

(25 citation statements)

References 21 publications

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“…Fig. 6 shows that, as predicted in [32], the more elements that are inserted in the array, the higher the SLL reduction. For instance, in the case of the fabricated array with 8-elements, the SLL of the spiral array is 0.9 dB, whereas for 64-elements it rises up to 6.9 dB.…”

Section: Sparse Arrays In Visible Rangesupporting

confidence: 51%

“…In order to design a low SLL antenna array operating at λ= 1.55 µm, we employ the definition of the Fermat's spiral presented in [30][31][32] and implemented in [35]. According to the description of the spiral reported in the mentioned work, the position the n-th element of the array (n = 1, 2, 3, .…”

Section: Nanophotonic Phased Arraysmentioning

confidence: 99%

“…A more promising approach has been adopted in [30][31][32] by employing a bio-inspired solution: the distribution of antenna elements according to Fermat's spiral, which is a particular case of an Archimedean spiral. This spiral appears in several biological systems, for instance in the morphogenesis of some cactus, the arrangement of seeds in sunflowers, and the shape of pine cones [33,34].…”

Section: Introductionmentioning

confidence: 99%

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Side-lobe level reduction in bio-inspired optical phased-array antennas

et al. 2017

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Phased arrays are expected to play a critical role in visible and infrared wireless systems. Their improved performance compared to single element antennas finds uses in communications, imaging, and sensing. However, fabrication of photonic antennas and their feeding network require long element separation, leading to the appearance of secondary radiation lobes and, consequently, crosstalk and interference. In this work, we experimentally show that by arranging the elements according to the Fermat's spiral, the side lobe level (SLL) can be reduced. This reduction is proved in a CMOS-compatible 8-element array, revealing a SLL decrement of 0.9 dB. Arrays with larger numbers of elements and inter-element spacing are demonstrated through an spatial light modulator (SLM) and an SLL drop of 6.9 dB is measured for a 64-element array. The reduced SLL, consequently, makes the proposed approach a promising candidate for applications in which antenna gain, power loss, or information security are key requirements.

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Section: Sparse Arrays In Visible Rangesupporting

confidence: 51%

Section: Nanophotonic Phased Arraysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Side-lobe level reduction in bio-inspired optical phased-array antennas

et al. 2017

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“…So, care needs to be provided for side lobe contraction in a smart antenna. Various techniques are available in the literature for side lobe level reduction like the array synthesis method [19], thinned array method [20], and unequal spacing method [21].…”

Section: Introductionmentioning

confidence: 99%

Performance of Smart Antenna Under Different Fading Conditions

Senapati

Patro

Sooksood

et al. 2021

Wireless Pers Commun

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Optimizing the current distribution of an evenly spaced antenna array has shown to be an efficient approach for reducing side lobe levels. In this article, the Tchebyscheff distribution-based antenna array synthesis approach is combined with an adaptive signal processing algorithm for beamforming and side lobe level reduction in smart antennas in various fading situations. The performance of smart antennas in uniformly spaced linear, planar, circular, and semi-circular arrays are evaluated. The presence of Rayleigh and Rician channels is examined in the network. The least mean square (LMS) and normalised least mean square (NLMS) algorithms are applied as adaptive algorithms. In fading environments, the NLMS algorithm with Tchebyscheff distribution outperforms than the LMS algorithm with Tchebyscheff distribution, with a side lobe level decrease of 11.23 dB. The lowest side lobe achieved with the NLMS algorithm with Tchebyscheff distribution is − 45.59 dB for uniform planar array.

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“…The most common use of the Non-Uniform Fast Fourier Transform (NUFFT) in array antenna analysis is the efficient computation of the radiation pattern of aperiodic arrays [1,2], which may be applied to the process of thinning arrays with reduced side lobes [3,4], multi-objective optimization of aperiodic arrays using evolutionary algorithms [5], secondary lobe [6] or grating lobe [7] suppresion, maximum reduction of the interference in wireless communication systems [8], amplitude controlled reflectarrays using non-uniform frequency selective surfaces [9], and electronically steerable arrays with evolutionary algorithms [10], among others. In particular, we will focus on a particular type of array antennas, i.e., reflectarray antennas, since current applications demand very large reflectarrays composed of thousands of elements, requiring efficient computational techniques for their analysis, where the NUFFT may be applied to improve the performance of current analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

Acceleration of Very Large Reflectarray Radiation Pattern Computation Using an Adaptive Resolution Spectral Grid

Prado¹,

Arrebola²,

Pino³

et al. 2019

PIER C

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In this work, a novel use of the Non-Uniform Fast Fourier Transform (NUFFT) in reflectarray antenna analysis is proposed to greatly accelerate the computation of radiation patterns using a non-uniform, reduced and adaptive grid in the spectral domain. The proposed methodology is very useful for very large reflectarrays, which have very narrow beamwidths due to their large directivity, and shaped-beam reflectarrays for satellite applications such as Direct Broadcast Satellite (DBS), which might require a compliance analysis in very small angular regions. In those cases, high resolution in the radiation pattern is required, while a low resolution could be enough elsewhere to account for side lobes. However, current analysis techniques for such reflectarrays present limitations regarding large memory footprints or slow computations. The methodology presented in this work allows to overcome those limitations by performing computations in a non-uniform, reduced and adaptive grid in the transformed UV domain, achieving faster computations using considerably less memory. Numerical examples for current applications of interest are provided to assess the capabilities of the technique. In particular, the use of the NUFFT allows to compute efficiently the radiation pattern in any principal plane with improved resolution for multibeam applications. Also, compliance analyses for DBS applications may be improved with the use of a reduced, multiresolution grid and the NUFFT. The proposed technique is thus suitable to greatly accelerate optimization algorithms.

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Aperiodic Antenna Array for Secondary Lobe Suppression

Cited by 29 publications

References 21 publications

Side-lobe level reduction in bio-inspired optical phased-array antennas

Side-lobe level reduction in bio-inspired optical phased-array antennas

Performance of Smart Antenna Under Different Fading Conditions

Acceleration of Very Large Reflectarray Radiation Pattern Computation Using an Adaptive Resolution Spectral Grid

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