On Gridless Sparse Methods for Multi-snapshot Direction of Arrival Estimation
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-016-0462-9
Abstract: The authors have recently proposed two kinds of gridless sparse methods for direction of arrival estimation in the presence of multiple snapshots that exploit joint sparsity among the snapshots and completely resolve grid mismatches of… read more here.
Keywords: gridless; arrival estimation; multi snapshot; sparse methods ... See more keywords
Gridless Sparse ISAR Imaging via 2-D Fast Reweighted Atomic Norm Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3191394
Abstract: Aiming at acquiring high-resolution ISAR image effectively and quickly, a new fast gridless imaging method with a sound two-dimensional (2-D) reweighting strategy is proposed in this letter. First, the received echo is characterized as a… read more here.
Keywords: isar; isar imaging; atomic norm; gridless ... See more keywords
Tomographic SAR Inversion by Atomic-Norm Minimization—The Gridless Compressive Sensing Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3223524
Abstract: Synthetic aperture radar (SAR) tomography (TomoSAR) extends the synthetic aperture principle into the elevation direction for 3-D imaging. Due to the sparsity of the elevation signal, compressive sensing (CS) methods have been introduced for tomographic… read more here.
Keywords: minimization gridless; atomic norm; gridless; norm minimization ... See more keywords
Maximum Likelihood-Based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL With Grid Refinement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3254919
Abstract: We consider the parametric measurement model employed in applications such as line spectral or direction-of-arrival estimation with the goal to estimate the underlying parameter in a gridless manner. We focus on the stochastic maximum likelihood… read more here.
Keywords: structured covariance; covariance matrix; gridless; maximum likelihood ... See more keywords