Alternating Projections Gridless Covariance-Based Estimation For DOA

Yongsung Park; Peter Gerstoft

ICASSP 2021accepted0 citations

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.

BibTeX

@inproceedings{icassp2021_alternatingproje,
  title = {Alternating Projections Gridless Covariance-Based Estimation For DOA},
  author = {Yongsung Park and Peter Gerstoft},
  booktitle = {ICASSP 2021},
  year = {2021}
}