Work

Alternating Projections Gridless Covariance-Based Estimation For DOA

Year: 2021

Type: conference-paper

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.

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp39728.2021.9414972

Authors: Yongsung Park, Peter Gerstoft

Institutions: Scripps Institution of Oceanography, University of California San Diego

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Office of Naval Research

OpenAlex ID: W3131283255

FWCI: 0.609

Cites: 36

Cited by: 8

Related to: 20