Paper Info
Title
ALTERNATING PROJECTIONS GRIDLESS COVARIANCE-BASED ESTIMATION FOR DOA
Abstract
We present a gridless sparse iterative covariance-based estimation method based on alternating projections for direction-of-arrival (DOA) estimation. The gridless DOA estimation is formulated in the reconstruction of Toeplitz-structured low rank matrix, and is solved efficiently with alternating projections. The method improves resolution by achieving sparsity, deals with single-snapshot data and coherent arrivals, and, with co-prime arrays, estimates more DOAs than the number of sensors. We evaluate the proposed method using simulation results focusing on co-prime arrays.
Year
DOI
Venue
2021
10.1109/ICASSP39728.2021.9414972
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
Keywords
DocType
Citations 
DOA estimation, sparse signal recovery, off-grid sparse model, alternating projections, compressive sensing
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yongsung Park101.69
Peter Gerstoft28622.34