TP6a4.5

Pattern Coupled Sparse Bayesian Learning with Fixed Point Iterations for DOA and Amplitude Estimation

Didem Dogan, Geert Leus, Delft University of Technology, Netherlands
Session:
TP6a4: Algorithms for Array Processing Poster
Track:
Array Processing and Multisensor Systems
Location:
Fred Farr
Presentation Time:
Tue, 31 Oct, 13:30 - 15:10 PT (UTC -8)
Presentation
Discussion
Resources
No resources available.
Session TP6a4
TP6a4.1: Asymptotic Distribution of Channel Matrix-based GLRT for Cognitive Radar/Sonar
Touseef Ali, Arizona State University, United States; Christ Richmond, Duke University, United States
TP6a4.2: Opportunistic Time-of-Flight Imaging Using MU-MIMO Downlink
Kris Li, Rice University, United States; Kumar Vijay Mishra, United States Army Research Laboratory, United States; Ashutosh Sabharwal, Rice University, United States
TP6a4.3: Few-Shot Classification Using Tensor Completion
Anastasia Aidini, Grigorios Tsagkatakis, University of Crete/Foundation for Research and Technology Hellas, Greece; Nicholas D. Sidiropoulos, University of Virginia, United States; Panagiotis Tsakalides, University of Crete/Foundation for Research and Technology Hellas, Greece
TP6a4.4: Hybrid Convolutional Beamspace Method for mmWave MIMO Channel Estimation
Po-Chih Chen, P. P. Vaidyanathan, California Institute of Technology, United States
TP6a4.5: Pattern Coupled Sparse Bayesian Learning with Fixed Point Iterations for DOA and Amplitude Estimation
Didem Dogan, Geert Leus, Delft University of Technology, Netherlands
TP6a4.6: Harnessing Holes for Spatial Smoothing with Applications in Automotive Radar
Yinyan Bu, Robin Rajamaki, Pulak Sarangi, Piya Pal, University of California, San Diego, United States
TP6a4.7: Unambiguous DOA Estimation Using Multi-Frequency Rational Sparse Arrays
Md Waqeeb Tahmeed Sayeed Chowdhury, Yimin Daniel Zhang, Temple University, United States
Contacts