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Title: Lorentzian Operator for Angular Source Localization with Large Array, Journal of Telecommunications and Information Technology, 2015, nr 4

Creator:

Safi, Said ; Frikel, Miloud ; Khmou, Youssef

Date:

2015, nr 4

Resource Type:

artykuł

Description:

Source localization problem consists of an ensemble of techniques that are used to obtain spatial information of present radiation in given medium of propagation, with a constraint of the antenna geometry and the characteristics of radiating sources. This condition gives multitude of cases to study, hence several methods were proposed in the literature. In this paper, a new algorithm for estimating the Direction of Arrival (DoA) of narrowband and far field punctual sources is introduced. By exploiting the spectrum of covariance matrix of received data, the Lorentzian function on spectral matrix to filter the eigenvalues is applied. This filtering process eliminates the eigenvalues belonging to signal subspace. Parameters of Lorentz function are adjusted using first and second statistics of eigenvalues. The algorithm requires the knowledge of minimum eigenvalue and is performing when the dimension of antenna is relatively large which is confirmed by several Monte Carlo simulations.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1884

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

array processing Direction of Arrival narrowband operator

Object collections:

Last modified:

Feb 25, 2026

In our library since:

Feb 25, 2016

Number of object content hits:

165

All available object's versions:

https://bc.itl.waw.pl/publication/2153

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Edition name Date
Khmou, Youssef; Safi, Said; Frikel, Miloud, Lorentzian Operator for Angular Source Localization with Large Array, Journal of Telecommunications and Information Technology, 2015, nr 4 Feb 25, 2026

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