MA5b.3

Optimal Self-Calibration for Collaborative Sensing in mmWave Radar Networks

Anirban Banik, Yasamin Mostofi, University of California, Santa Barbara, United States; Ashutosh Sabharwal, Rice University, United States; Upamanyu Madhow, University of California, Santa Barbara, United States
Session:
MA5b: MIMO Radar Lecture
Track:
Array Processing and Multisensor Systems
Location:
Toyon
Presentation Time:
Mon, 28 Oct, 11:05 - 11:30 PT (UTC -8)
Session Chair:
David Ramirez, Universidad Carlos III de Madrid
Presentation
Discussion
Resources
No resources available.
Session MA5b
MA5b.1: MIMO Beampattern Synthesis using Adaptive Frequency Modulated Waveforms
David Hague, Naval Undersea Warfare Center, United States
MA5b.2: Passive detection with a multi-rank beamformer of a random signal common to two sensors
David Ramírez, Universidad Carlos III de Madrid, Spain; Ignacio Santamaria, Universidad de Cantabria, Spain; Louis L. Scharf, Colorado State University, United States
MA5b.3: Optimal Self-Calibration for Collaborative Sensing in mmWave Radar Networks
Anirban Banik, Yasamin Mostofi, University of California, Santa Barbara, United States; Ashutosh Sabharwal, Rice University, United States; Upamanyu Madhow, University of California, Santa Barbara, United States
MA5b.4: Performance Assessment of GLRT Statistics for Channel Matrix-based Cognitive Radar
Touseef Ali, Arizona State University, United States; Christ Richmond, Duke University, United States
Contacts