Estimation of 2-D Direction of Arrival with an Extended Correlation Matrix

Harabi, Ferid; Changuel, H.; Gharsallah, Ali

doi:10.1109/wpnc.2007.353642

Cited by 11 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to study our approach, we have started by the Matrix Pencil formalism by using the real Matrix to evaluate the direction of arrival of multiple impinged on the Uniform Linear Array [8]. The equation 1represent signals collected in the ULA array, the ASTESJ ISSN: 2415-6698 vector x(t) is the signals measured at each antenna element of the array, this vector can be modelled by a sum of exponentials complex [9][10][11][12]. Therefore, n(t) is the noise.…”

Section: Matrix Pencil Using Ulamentioning

confidence: 99%

Direction of Arrival Using 2-D Matrix Pencil Method

Ihedrane¹,

Fadl²,

Bri³

2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

In this research work, we proposed a technique to decrease the complexity of 2-D Matrix Pencil (MP) for the direction of arrival (DOA) evaluation by combining two perpendicular arrays: The first one is the uniform linear array (ULA) and the second one is a uniform circular array (UCA). This special structure for the 2D Matrix Pencil pipe to a powerful methodology for real-time implementation on a digital signal processor, while the MP used to correlated and uncorrelated sources with the presence of a white noise. The obtained results show that proposed MP method gives better results at the level of the precision and the estimation of the DOA compared to the published measure.

show abstract

Section: Matrix Pencil Using Ulamentioning

confidence: 99%

Direction of Arrival Using 2-D Matrix Pencil Method

Ihedrane¹,

Fadl²,

Bri³

2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…There are several ways to estimate the 2-D AoA as presented in [32]- [34] where they use the cross correlation between the received signal from an L-shaped antenna array. In [35], they estimate the 2-D using a UCA based on the fourth order cumulant of the the received signals.…”

Section: Aoa Estimation Techniquesmentioning

confidence: 99%

Secret Key Generation Based on AoA Estimation for Low SNR Conditions

Badawy

Khattab

Elfouly

et al. 2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

In the context of physical layer security, a physical layer characteristic is used as a common source of randomness to generate the secret key. Therefore an accurate estimation of this characteristic is the core for reliable secret key generation. Estimation of almost all the existing physical layer characteristic suffer dramatically at low signal to noise (SNR) levels. In this paper, we propose a novel secret key generation algorithm that is based on the estimated angle of arrival (AoA) between the two legitimate nodes. Our algorithm has an outstanding performance at very low SNR levels. Our algorithm can exploit either the Azimuth AoA to generate the secret key or both the Azimuth and Elevation angles to generate the secret key. Exploiting a second common source of randomness adds an extra degree of freedom to the performance of our algorithm. We compare the performance of our algorithm to the algorithm that uses the most commonly used characteristics of the physical layer which are channel amplitude and phase. We show that our algorithm has a very low bit mismatch rate (BMR) at very low SNR when both channel amplitude and phase based algorithm fail to achieve an acceptable BMR.

show abstract

“…This study could be extended to the 3D case of electromagnetic field distribution, where two orthogonal lines of sensors should be used to estimate correctly the elevation and azimuthal angles (Harabi et al, 2007). However, particular attention should be taken to the orientation of sensors (antennas oriented along each axis) for a correct detection of the electric field polarization.…”

Section: Plane Wave Complex Amplitudesmentioning

confidence: 99%

Plane Wave Spectra Estimation in Two-Dimensional Reverberation Chamber

Nafkha¹,

Richalot²,

Mengué³

et al. 2011

Electromagnetics

View full text Add to dashboard Cite

In this article, angular plane wave expansion of the standing electric field within a reverberation chamber is studied. For this purpose, a high-resolution Root multiple signal classification based method was adapted to the context of the reverberation chamber by using a decorrelation procedure to estimate the angles of arrival and complex amplitudes of the planes waves. Using finite difference time domain simulations to get the standing electric field cartographies, it is demonstrated, at low frequencies, that directions of arrival are slightly affected by the stirrer rotation, whereas the wave amplitudes are strongly perturbed. This result indicates that the stirrer works as a plane wave powers tuner.

show abstract

Estimation of 2-D Direction of Arrival with an Extended Correlation Matrix

Cited by 11 publications

References 16 publications

Direction of Arrival Using 2-D Matrix Pencil Method

Direction of Arrival Using 2-D Matrix Pencil Method

Secret Key Generation Based on AoA Estimation for Low SNR Conditions

Plane Wave Spectra Estimation in Two-Dimensional Reverberation Chamber

Contact Info

Product

Resources

About