SAM-2.3
DOA M-ESTIMATION USING SPARSE BAYESIAN LEARNING
Christoph Mecklenbraeuker, TU Wien, Austria; Peter Gerstoft, University of California, San Diego, United States of America; Esa Ollila, Aalto University, Finland
Session:
DOA Estimation and Learning Based Methods
Track:
Sensor Array and Multichannel Signal Processing
Location:
Gather Area O
Presentation Time:
Sun, 8 May, 21:00 - 21:45 China Time (UTC +8)
Sun, 8 May, 13:00 - 13:45 UTC
Sun, 8 May, 13:00 - 13:45 UTC
Session Chair:
Sundeep Chepuri, Indian Institute of Science India
Session SAM-2
SAM-2.1: GRIDLESS DOA ESTIMATION AND ROOT-MUSIC FOR NON-UNIFORM LINEAR ARRAYS
Mark Wagner, Yongsung Park, Peter Gerstoft, UC San Diego, United States of America
SAM-2.2: Underdetermined Direction-of-Arrival Estimation Using Sparse Circular Arrays on a Rotating Platform
Shekhar Kumar Yadav, Nithin V George, Indian Institute of Technology Gandhinagar, India
SAM-2.3: DOA M-ESTIMATION USING SPARSE BAYESIAN LEARNING
Christoph Mecklenbraeuker, TU Wien, Austria; Peter Gerstoft, University of California, San Diego, United States of America; Esa Ollila, Aalto University, Finland
SAM-2.4: Learning-aided initialization for variational Bayesian DOA estimation
Yongsung Park, Florian Meyer, Peter Gerstoft, University of California, San Diego, United States of America
SAM-2.5: NEURAL NETWORK-BASED COMPRESSION FRAMEWORK FOR DOA ESTIMATION EXPLOITING DISTRIBUTED ARRAY
Saidur Pavel, Yimin Zhang, Temple University, United States of America