Wed AM1.L4.4
Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation
Ruxin Zheng, Hongshan Liu, Shunqiao Sun, The University of Alabama, United States; Jian Li, University of Florida, United States
Session:
Wed AM1.L4: Advanced Signal Processing Approaches for High-Resolution Automotive Radar Systems Lecture
Track:
Special Sessions
Location:
Nautica
Presentation Time:
Wed, 6 Sep, 11:30 - 11:50 Finland Time (UTC +3)
Session Co-Chairs:
Shunqiao Sun, The University of Alabama and Kumar Vijay Mishra, United States DEVCOM Army Research Laboratory, Adelph
Presentation
Discussion
Resources
No resources available.
Session Wed AM1.L4
Wed AM1.L4.1: DOPPLER-TOLERANT WAVEFORM DESIGN AND SIGNAL PROCESSING FOR INTERFERENCE IMMUNE RADAR SYSTEMS
Robin Amar, Mohammad Alaee-Kerahroodi, Gabriel Beltr ̃ao, Bhavani Shankar M. R., University of Luxembourg, Luxembourg, Luxembourg
Wed AM1.L4.2: COOPERATIVE SENSING IN AUTOMOTIVE URBAN SCENARIOS USING POISSON LINE PROCESSES
François De Saint Moulin, Charles Wiame, Claude Oestges, Luc Vandendorpe, Catholic University of Louvain - UCLouvain, Belgium
Wed AM1.L4.3: Multi-target Range and Angle detection for MIMO-FMCW radar with limited antennas
Himali Singh, Arpan Chattopadhyay, Indian Institute of Technology Delhi, India
Wed AM1.L4.4: Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation
Ruxin Zheng, Hongshan Liu, Shunqiao Sun, The University of Alabama, United States; Jian Li, University of Florida, United States
Wed AM1.L4.5: Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar
Arian Eamaz, Farhang Yeganegi, University of Illinois Chicago, United States; Kumar Vijay Mishra, United States DEVCOM Army Research Laboratory, Adelph, United States; Mojtaba Soltanalian, University of Illinois Chicago, United States
Wed AM1.L4.6: Millimeter Wave V2V Beam Tracking using Radar: Algorithms and Real-World Demonstration
Hao Luo, Umut Demirhan, Ahmed Alkhateeb, Arizona State University, United States