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ISAC Super-Resolution Receivers: The Effect of Different Dictionary Matrices
Iman Valiulahi, Christos Masouros, Athina P. Petropulu
This paper presents an off-the-grid estimator for ISAC systems using lifted atomic norm minimization (LANM). The main challenge in the ISAC systems is the unknown nature of both tr…
ISAC Super-Resolution Receiver via Lifted Atomic Norm Minimization
Iman Valiulahi, Christos Masouros, Athina P. Petropulu
This paper introduces an off-the-grid estimator for integrated sensing and communication (ISAC) systems, utilizing lifted atomic norm minimization (LANM). The key challenge in this…
Eliminating Impulsive Noise in Pilot-Aided OFDM Channels via Dual of Penalized Atomic Norm
Iman Valiulahi, Farzad Parvaresh, Ali Asghar Beheshti
In this paper, we propose a novel estimator for pilot-aided orthogonal frequency division multiplexing (OFDM) channels in an additive Gaussian and impulsive perturbation environmen…
Robustness of Two-Dimensional Line Spectral Estimation Against Spiky Noise
Iman Valiulahi, Farzan Haddadi, Arash Amini
The aim of two-dimensional line spectral estimation is to super-resolve the spectral point sources of the signal from time samples. In many associated applications such as radar an…
Two-Dimensional Super-Resolution via Convex Relaxation
Iman Valiulahi, Sajad Daei, Farzan Haddadi +1
In this paper, we address the problem of recovering point sources from two dimensional low-pass measurements, which is known as super-resolution problem. This is the fundamental co…
Off-the-grid Two-Dimensional Line Spectral Estimation With Prior Information
Iman Valiulahi, Hamid Fathi, Sajad Daei +1
In this paper, we provide a method to recover off-the-grid frequencies of a signal in two-dimensional (2-D) line spectral estimation. Most of the literature in this field focuses o…