SAM-L2.5
ZIV-ZAKAI BOUND FOR DOA ESTIMATION WITH GAIN-PHASE ERROR
Sihan Wen, Zongyu Zhang, Chengwei Zhou, Zhiguo Shi, Zhejiang University, China
Session:
SAM-L2: DoA Estimation Lecture
Track:
Sensor Array and Multichannel Signal Processing
Location:
Room 209A
Presentation Time:
Tue, 16 Apr, 17:50 - 18:10 (UTC +9)
Session Co-Chairs:
Fulvio Gini, University of Pisa and Bhaskar D. Rao, University of California San Diego
Session SAM-L2
SAM-L2.1: ADAPTIVE GRID 2-D DIRECTION OF ARRIVAL ESTIMATION METHOD USING AN INTEGRATED DICTIONARY
Yanan Wu, Ocean University of China, China; Andreas Jakobsson, Lund University, Sweden
SAM-L2.2: A CCM-BASED JOINT DOA-FREQUENCY ESTIMATION AND SIGNAL RECOVERY WITH EFFICIENT SUB-NYQUIST SAMPLING
Liang Liu, Zhouchen Li, University of Electronic Science and Technology of China, China; Jiancheng An, Singapore University of Technology and Design, Singapore; Lu Gan, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States of America
SAM-L2.3: Deep convolution network based super resolution DOA estimation with Toeplitz and sparse prior
Chenkang Duan, Ye Tian, Ningbo University, China; Wei Liu, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland
SAM-L2.4: NUV-DOA: NUV PRIOR-BASED BAYESIAN SPARSE RECONSTRUCTION WITH SPATIAL FILTERING FOR SUPER-RESOLUTION DOA ESTIMATION
Mengyuan Zhao, KTH Royal Institute of Technology, Sweden; Guy Revach, ETH Zürich, Switzerland; Tirza Routtenberg, Nir Shlezinger, Ben-Gurion University of the Negev, Israel
SAM-L2.5: ZIV-ZAKAI BOUND FOR DOA ESTIMATION WITH GAIN-PHASE ERROR
Sihan Wen, Zongyu Zhang, Chengwei Zhou, Zhiguo Shi, Zhejiang University, China
SAM-L2.6: MAXIMUM LIKELIHOOD-BASED GRIDLESS DOA ESTIMATION USING STRUCTURED COVARIANCE MATRIX RECOVERY AND SBL WITH GRID REFINEMENT
Rohan R. Pote, Bhaskar D. Rao, University of California San Diego, United States of America
Contacts