SPMuS-L1.1
Low Cost Quasi Gauss-Newton Algorithm Implementation for 2D ML-DoA Estimation using a Sparse Representation of Array Covariance
Thomas Aussaguès, Anne Ferréol, Alice Delmer, Thales SIX GTS France SAS, France; Pascal Larzabal, Université Paris-Saclay, France
Session:
SPMuS-L1: DOA estimation Lecture
Track:
SPMuS - Signal Processing for Multisensor Systems
Location:
Bellini
Presentation Time:
Tue, 9 Sep, 16:00 - 16:20 Italy Time (UTC +2)
Session Co-Chairs:
Martin Haardt, Ilmenau University of Technology and Yimin Zhang, Temple University
Presentation
Discussion
Resources
No resources available.
Session SPMuS-L1
SPMuS-L1.1: Low Cost Quasi Gauss-Newton Algorithm Implementation for 2D ML-DoA Estimation using a Sparse Representation of Array Covariance
Thomas Aussaguès, Anne Ferréol, Alice Delmer, Thales SIX GTS France SAS, France; Pascal Larzabal, Université Paris-Saclay, France
SPMuS-L1.2: GRIDLESS DOA ESTIMATION IN OVERSAMPLED DFT BEAMSPACE
Chi Wang, Ilmenau University of Technology & Huawei Technologies Duesseldorf GmbH, Germany; Zhibin Yu, Ahmed Abdelkader, Xiaofeng Wu, Huawei Technologies Duesseldorf GmbH, Germany; Martin Haardt, Ilmenau University of Technology, Germany
SPMuS-L1.3: STRUCTURED DECORRELATION OF COVARIANCE MATRIX FOR DOA ESTIMATION OF COHERENT SIGNALS
Saidur Pavel, Yimin Zhang, Temple University, United States; Braham Himed, Air Force Research Laboratory, United States
SPMuS-L1.4: HIGH-RESOLUTION DOA ESTIMATION OF TRUE TARGET BY REJECTING GHOST TARGETS EFFECT INITIAL RESULTS OF IAA-GTR
Ryuhei Takahashi, Mitsubishi Electric Corporation, Japan; Pu (Perry) Wang, Mitsubishi Electric Research Laboratories (MERL), United States
SPMuS-L1.5: CS-ADABOOST: ONE-BIT COMPRESSED SENSING FOR DIRECTION-OF-ARRIVAL ESTIMATION
Majdoddin Esfandiari, Aalto University, Finland; Petteri Pulkkinen, Aalto University; Saab Finland Oy, Finland; Sergiy A. Vorobyov, Visa Koivunen, Aalto University, Finland