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A Compact Formulation for the Mixed-Norm Minimization Problem
Christian Steffens, Marius Pesavento, Marc E. Pfetsch
Parameter estimation from multiple measurement vectors (MMVs) is a fundamental problem in many signal processing applications, e.g., spectral analysis and direction-of- arrival est…
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…
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…
Multidimensional Sparse Recovery for MIMO Channel Parameter Estimation
Christian Steffens, Yang Yang, Marius Pesavento
Multipath propagation is a common phenomenon in wireless communication. Knowledge of propagation path parameters such as complex channel gain, propagation delay or angle-of-arrival…
Calibration of Radio Interferometers Using a Sparse DoA Estimation Framework
Martin Brossard, Mohamed Nabil El Korso, Marius Pesavento +2
The calibration of modern radio interferometers is a significant challenge, specifically at low frequencies. In this perspective, we propose a novel iterative calibration algorithm…