Paper ID | SAM-2.3 | ||
Paper Title | ALTERNATING PROJECTIONS GRIDLESS COVARIANCE-BASED ESTIMATION FOR DOA | ||
Authors | Yongsung Park, Peter Gerstoft, University of California, San Diego, United States | ||
Session | SAM-2: Direction of Arrival Estimation 2 | ||
Location | Gather.Town | ||
Session Time: | Tuesday, 08 June, 16:30 - 17:15 | ||
Presentation Time: | Tuesday, 08 June, 16:30 - 17:15 | ||
Presentation | Poster | ||
Topic | Sensor Array and Multichannel Signal Processing: [SAM-CSSM] Compressed sensing and sparse modeling | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
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. |