Sidelobe level reduction in linear array pattern synthesis using Taylor-MUSIC algorithm for reliable IEEE 802.11 MIMO applications

Ghayoula, Elies; Fattahi, Jaouhar; Ghayoula, Ridha; Pricop, Emil; Stâmâtescu, Grigore; Chouinard, Jean‐Yves; Bouallègue, Ammar

doi:10.1109/smc.2016.7844973

Cited by 2 publications

(3 citation statements)

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“…The eigenvalues and eigenvectors which belong to matrix R x are correspond to signal and noise, respectively. Therefore, the eigenvalue of R x to signal eigenvalue and noise eigenvalue can be divided [27]- [28].…”

Section: A Signal Model and Estimation Algorithm (Music)mentioning

confidence: 99%

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Phased array antenna controlled by FPGA-ARM Cortex-M Processor

Amara,

Ghayoula,

Hammami

et al. 2023

AEM

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This paper discusses the architecture of an adaptive transmitting antenna array that allows highly flexible beamsteering. Antenna arrays are used in many digital signal processing applications due to their ability to locate signal sources. The Direction of Arrival (DOA) estimation is a key task of array signal processing, with the Taguchi method and Multiple Signal Classification (MUSIC). Although various algorithms have been developed for DOA estimation, their high complexity prevents their use in real-time applications. In this paper, we design and develop an implementation using Field Programmable Gate Array (FPGA Artix-7), which is the most widely used ARM processor in embedded systems. The antenna array is digitally controlled with the phases synthesized by the Taguchi method.

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Section: A Signal Model and Estimation Algorithm (Music)mentioning

confidence: 99%

“…There are two independent narrowband signals, the incident angle is (-30°, 30°) and (-60°, 60°) respectively; those two signals are not correlated, the noise is ideal Gaussian white noise, the SNR is 20dB, the element spacing is half of the input signal wavelength, array element number is 8 [28].…”

Section: A Signal Model and Estimation Algorithm (Music)mentioning

confidence: 99%

Phased array antenna controlled by FPGA-ARM Cortex-M Processor

Amara,

Ghayoula,

Hammami

et al. 2023

AEM

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show abstract

“…In the array synthesis, low sidelobe level (SLL) and low cross-polarization level (CPL) are usually preferable [1], [2]. To achieve the desired low sidelobe performance, some optimization algorithms such as the genetic algorithm (GA), differential evolution algorithm (DEA), and particle swarm optimization (PSO), have been proposed [3]- [7].…”

Section: Introductionmentioning

confidence: 99%

Low sidelobe synthesis of dipole arrays by element orientation selection using binary codec genetic algorithm

Liu

Chen

et al. 2017

2017 11th European Conference on Antennas and Propagation (EUCAP)

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Selecting appropriate element orientations can significantly reduce the sidelobe level of the antenna array. In this paper, a binary coded genetic algorithm (BCGA) which selects the element orientations from specified discrete angles, is proposed to reduce the sidelobe level (SLL) of the array. Compared to the conventional GA, the BCGA is much faster in this application. Synthesis results show the effectiveness and efficiency of the proposed method.

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Sidelobe level reduction in linear array pattern synthesis using Taylor-MUSIC algorithm for reliable IEEE 802.11 MIMO applications

Cited by 2 publications

References 10 publications

Phased array antenna controlled by FPGA-ARM Cortex-M Processor

Phased array antenna controlled by FPGA-ARM Cortex-M Processor

Low sidelobe synthesis of dipole arrays by element orientation selection using binary codec genetic algorithm

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