CCR-3: Machine Learning for Characterization of Cognitive Communications and Radar III |
Symposium: Symposium on Machine Learning for Characterization of Cognitive Communications and Radar |
Session Type: Lecture |
Time: Friday, December 9, 14:00 - 15:40 |
Location: Salon H |
Session Chair: George Stantchev, Naval Research Laboratory |
14:00 - 14:20 |
CCR-3.1: BLIND CHANNEL GAIN CARTOGRAPHY |
Daniel Romero; University of Minnesota |
Donghoon Lee; University of Minnesota |
Georgios B. Giannakis; University of Minnesota |
14:20 - 14:40 |
CCR-3.2: USING DEPENDENT COMPONENT ANALYSIS FOR BLIND CHANNEL ESTIMATION IN DISTRIBUTED ANTENNA SYSTEMS |
Janis Nötzel; Universitat Autònoma de Barcelona |
Christian Arendt; BMW Group |
14:40 - 15:00 |
CCR-3.3: SENSITIVITY OF L-1 REGULARIZATION ON SUBSPACE-BASED SIMO BLIND CHANNEL IDENTIFICATION IN SAMPLE CHANNEL MEASUREMENTS |
Kareem Bonna; Rutgers University |
Predrag Spasojevic; Rutgers University |
15:00 - 15:20 |
CCR-3.4: A SEQUENTIAL DETECTION APPROACH TO INDOOR POSITIONING USING RSS-BASED FINGERPRINTING |
Negar Etemadyrad; George Mason University |
Jill K. Nelson; George Mason University |