Optimisation of Adaptive Antenna Array Performance Using Particle Swarm Algorithm

Qasim, Aseel abdul-karim; Sallomi, Adheed Hasan

doi:10.1109/cas47993.2019.9075491

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…The symmetrical radiation pattern can be generated by the unsymmetrical placement of the antenna array. The array factor is specified by [9] AF = ∑ e j(n−1)(k sinθ+δ) N n=1…”

Section: Non-uniform Linear Arraymentioning

confidence: 99%

Design and Analysis of Phased Array System by MATLAB Toolbox

Qasim

Sallomi

2023

Al-Kitab J. Pure Sci.

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An array of antennas mounted on vehicles, ships, aircraft, satellites, and base stations is expected to play an important role in fulfilling the increased demand of channel requirement for these services. In this paper toolboxes of MATLAB will use for the phased array system for different purposes of extraction of information about a validate results for antenna array and a comparison is made between different antenna array geometries, also this paper provides the background of the newly developed MATLAB Phased Array Toolbox. So, some effective parameters like the changing element spacing and the number of elements and the geometrical shape of the array on the antenna array radiation pattern along with the gain have been studied. The Phased Array Toolbox of MATLAB has also been used to validate the results.

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“…The symmetrical radiation pattern can be generated by the unsymmetrical placement of the antenna array. The array factor is specified by [9] AF = ∑ e j(n−1)(k sinθ+δ) N n=1…”

Section: Non-uniform Linear Arraymentioning

confidence: 99%

Design and Analysis of Phased Array System by MATLAB Toolbox

Qasim

Sallomi

2023

Al-Kitab J. Pure Sci.

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“…SA focuses on the notion of spatial processing, which is the key concept in adaptive antenna systems [4]. Arrays may produce the desired radiation characteristics by properly exciting each element with certain amplitudes and phases to maximize the signal from the desired users [5]. This paper analyzed various array geometries such as uniform linear (LA), uniform rectangular (PA), and circular arrays (CA).…”

Section: Introductionmentioning

confidence: 99%

Rabid Euclidean direction search algorithm for various adaptive array geometries

2021

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One of the exciting technologies used to meet the increasing demand for wireless communication services is a smart antenna. A smart antenna is basically confirmed by an array of antennas and a digital beamformer unit through which cellular base station can direct the beam toward the desired user and set nulls toward interfering users. In this paper, different array configurations (linear, circular, and planer) with the REDS algorithm are implemented in the digital beam-forming unit. The wireless system performance is investigated to check the smart antenna potentials assuming Rayleigh fading channel environment beside the AWGN channel. Results show how the REDS algorithm offers a significant improvement through antenna radiation pattern optimization, sidelobe level, and interference reduction, and also the RDES algorithm proves fast convergence with minimum MSE and better sidelobe level reduction comparing with other algorithms.

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Optimisation of Adaptive Antenna Array Performance Using Particle Swarm Algorithm

Cited by 2 publications

References 23 publications

Design and Analysis of Phased Array System by MATLAB Toolbox

Design and Analysis of Phased Array System by MATLAB Toolbox

Rabid Euclidean direction search algorithm for various adaptive array geometries

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