Performance analysis of direction of arrival estimation under hard condition

Boustani, Btissam; Baghdad, Abdennaceur; Sahel, Aïcha; Ballouk, Abdelhakim; Badr, Abdelmajid

doi:10.1109/icoa.2018.8370544

Cited by 6 publications

(5 citation statements)

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“…There are several techniques for estimating the direction of arrival, including MUSIC algorithm, ESPRIT algorithm, Capon, and others. In this research, we will use the WSF algorithm that proved its effectiveness in previous works [10,13,14].…”

Section: Research Methods 21 Doa Estimationmentioning

confidence: 99%

“…However, because of the bandwidth limitation in traditional Wi-Fi systems [8], the Wi-Fi indoor positioning system can hardly achieve localization accuracy of the users under harsh conditions such as the non-line-of-sight (NLOS) [8], higher frequencies, and noisy system, which are common for the indoor environment. The analysis of the estimation of the direction of arrival has important value to guide network of the position of the sources to direct the signals toward the proper direction, however, none of these works have addressed the actual conditions as will be discussed in this manuscript [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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The impact of noise on detecting the arrival angle using the root-WSF algorithm

et al. 2020

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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.

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Section: Research Methods 21 Doa Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of noise on detecting the arrival angle using the root-WSF algorithm

et al. 2020

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“…These algorithms use a set of complex weights to adjust the amplitude or the phase of each elemental antenna of the proposed network. The trained system can only operate by knowing the angles of arrival, where the estimation of the direction of arrival algorithms is then required [17].…”

Section: Research Methods 21 Doa Estimationmentioning

confidence: 99%

“…Root-MUSIC is considered as one of many conversion of MUSIC algorithm, it is based on setting up the roots of a polynomial, this technique aims to decrease the computational complexity and improve its performance. Nevertheless, it is applicable only for a linear array spaced uniformly [17].…”

Section: Root-musicmentioning

confidence: 99%

Performance analysis of direction of arrival algorithms for Smart Antenna

Boustani¹,

Baghdad²,

Sahel³

et al. 2019

IJECE

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<p>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.</p>

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“…In real-time applications, the SOI that impinges on the array usually has unknown amplitude and direction, as well as low SNR and is exposed to other practical issues [4,12,15]. As a result, AOA estimation is considered to be a challenging problem.…”

Section: Crb Derivationmentioning

confidence: 99%

CRB-based comparative study of array signal processing direction finding methods supported with SDR platform implementation

Elkasrawi,

Abdelaziz,

AbouBakr

et al. 2023

J. Phys.: Conf. Ser.

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Radio Direction-Finding (DF) is an extremely important process in numerous commercial and military applications. Array signal processing-based DF methods have been developed to improve estimation performance in recent applications that require higher resolution and accuracy. Practically, angle of arrival (AOA) estimation is challenging due to various intrinsic and extrinsic parameters that affect the results. Therefore, clarifying these parameters and researching their impact on various DF methods are considered important research topics. The Cramer-Rao Bound (CRB) for estimating AOA is calculated based on a model of a linear antenna array system. This bound identify the factors that significantly impact the estimation performance. The current study conducts a comparative analysis of the most widely used array-signal-processing-based direction-finding (DF) methods under different conditions of the CRB parameters. According to the simulation results, Multiple Signal Classification (MUSIC) AOA estimator provides more accurate and stable results. Accordingly, it is chosen for implementation using a prototype testbed based on Software Defined Radio (SDR) technology using National Instruments Universal Software Radio Peripheral (NI-USRP) platform version 2930. Experimental outcomes were tested at various AOA values. The appendix includes the complete derivation for the CRB relation applied on the system model.

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Performance analysis of direction of arrival estimation under hard condition

Cited by 6 publications

References 1 publication

The impact of noise on detecting the arrival angle using the root-WSF algorithm

The impact of noise on detecting the arrival angle using the root-WSF algorithm

Performance analysis of direction of arrival algorithms for Smart Antenna

CRB-based comparative study of array signal processing direction finding methods supported with SDR platform implementation

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