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20132022
most citedA Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems

112 citations · 910 across the 35 of their papers we have counts for

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6 papers · 1 filter

stat.AP2017

Non-Coherent Direction-of-Arrival Estimation Using Partly Calibrated Arrays

Wassim Suleiman, Pouyan Parvazi, Marius Pesavento +1

In this paper, direction-of-arrival (DOA) estimation using non-coherent processing for partly calibrated arrays composed of multiple subarrays is considered. The subarrays are assu…

stat.AP2016★ 29 cited

Robust Calibration of Radio Interferometers in Non-Gaussian Environment

Virginie Ollier, Mohammed Nabil El Korso, Rémy Boyer +2

The development of new phased array systems in radio astronomy, as the low frequency array (LOFAR) and the square kilometre array (SKA), formed of a large number of small and flexi…

stat.AP2016★ 1 cited

Maximum Likelihood and Maximum A Posteriori Direction-of-Arrival Estimation in the Presence of SIRP Noise

Xin Zhang, Mohammed Nabil El Korso, Marius Pesavento

The maximum likelihood (ML) and maximum a posteriori (MAP) estimation techniques are widely used to address the direction-of-arrival (DOA) estimation problems, an important topic i…

stat.AP2016★ 1 cited

MIMO Radar Target Localization and Performance Evaluation under SIRP Clutter

Xin Zhang, Mohammed Nabil El Korso, Marius Pesavento

Multiple-input multiple-output (MIMO) radar has become a thriving subject of research during the past decades. In the MIMO radar context, it is sometimes more accurate to model the…

stat.AP2016★ 3 cited

Joint ML calibration and DOA estimation with separated arrays

Virginie Ollier, Mohammed Nabil El Korso, Rémy Boyer +2

This paper investigates parametric direction-of-arrival (DOA) estimation in a particular context: i) each sensor is characterized by an unknown complex gain and ii) the array consi…

stat.AP2015★ 63 cited

Performance Analysis of the Decentralized Eigendecomposition and ESPRIT Algorithm

W. Suleiman, M. Pesavento, A. M. Zoubir

In this paper, we consider performance analysis of the decentralized power method for the eigendecomposition of the sample covariance matrix based on the averaging consensus protoc…