Btissam Boustani - Academia.edu (original) (raw)

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Papers by Btissam Boustani

2018 6th International Conference on Multimedia Computing and Systems (ICMCS), 2018

This paper presents a comparative study of two adaptive algorithms, Linear Constraint Minimum Var... more This paper presents a comparative study of two adaptive algorithms, Linear Constraint Minimum Variance (LMCV) and the Minimum Variance Distortionless Response (MVDR) applied to the smart antenna system. These algorithms are studied in terms of power while tracking the desired signal. In this case, we used a system with three upcoming signals containing the desired signal, whose position changes constantly, and two signals considered as interference. The simulation result shows that the MVDR technique provides better results than LMCV by creating a beam forming that follows the desired signal through its movement preserving an adequate power.

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2020

This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. ... more This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. These standards have been tested for their ability to detect the arrival angle of a noisy system. In this study, we chose to work with an intelligent system whose noise becomes more and more important to detect the desired angle of arrival. However, the use of the weighted subspace fitting (WSF) algorithm was able to detect all angles even for the 5th generation Wi-Fi without any problem, and therefore proved its robustness against noise.

International Journal of Electrical and Computer Engineering (IJECE)

This paper presents the performance analysis of the direction of arrival estimation algorithms su... more This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed ...

TELKOMNIKA Telecommunication Computing Electronics and Control, 2020

This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. ... more This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. These standards have been tested for their ability to detect the arrival angle of a noisy system. In this study, we chose to work with an intelligent system whose noise becomes more and more important to detect the desired angle of arrival. However, the use of the weighted subspace fitting (WSF) algorithm was able to detect all angles even for the 5th generation Wi-Fi without any problem, and therefore proved its robustness against noise.

International Journal of Electrical and Computer Engineering (IJECE), 2019

This paper presents the performance analysis of the direction of arrival estimation algorithms su... more This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed scenarios.

2018 6th International Conference on Multimedia Computing and Systems (ICMCS), 2018

This paper presents a comparative study of two adaptive algorithms, Linear Constraint Minimum Var... more This paper presents a comparative study of two adaptive algorithms, Linear Constraint Minimum Variance (LMCV) and the Minimum Variance Distortionless Response (MVDR) applied to the smart antenna system. These algorithms are studied in terms of power while tracking the desired signal. In this case, we used a system with three upcoming signals containing the desired signal, whose position changes constantly, and two signals considered as interference. The simulation result shows that the MVDR technique provides better results than LMCV by creating a beam forming that follows the desired signal through its movement preserving an adequate power.

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2020

This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. ... more This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. These standards have been tested for their ability to detect the arrival angle of a noisy system. In this study, we chose to work with an intelligent system whose noise becomes more and more important to detect the desired angle of arrival. However, the use of the weighted subspace fitting (WSF) algorithm was able to detect all angles even for the 5th generation Wi-Fi without any problem, and therefore proved its robustness against noise.

International Journal of Electrical and Computer Engineering (IJECE)

This paper presents the performance analysis of the direction of arrival estimation algorithms su... more This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed ...

TELKOMNIKA Telecommunication Computing Electronics and Control, 2020

This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. ... more This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. These standards have been tested for their ability to detect the arrival angle of a noisy system. In this study, we chose to work with an intelligent system whose noise becomes more and more important to detect the desired angle of arrival. However, the use of the weighted subspace fitting (WSF) algorithm was able to detect all angles even for the 5th generation Wi-Fi without any problem, and therefore proved its robustness against noise.

International Journal of Electrical and Computer Engineering (IJECE), 2019

This paper presents the performance analysis of the direction of arrival estimation algorithms su... more This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed scenarios.