Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization

Yongsung Park; Peter Gerstoft

ICASSP 2020accepted0 citations

Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization

Abstract

This paper introduces compressive sensing (CS) based two-dimensional (2-D) off-grid direction-of-arrival (DOA) estimation approach which can output the azimuths and elevations of radiating sources for propeller tip vortex cavitation localization. With a discretized angular search-grid of the conventional CS based approach, grid mismatch deteriorates the DOA estimation performance. To obtain the off-grid estimation performance, we formulate the 2-D off-grid DOA estimation problem into a block-sparse CS framework. In addition, the presented method can be applied to arrays of arbitrary geometry with no array configuration constraint. The approach is illustrated by numerical simulations and experimental data (cavitation tunnel experiment).

BibTeX

@inproceedings{icassp2020_compressive2doff,
  title = {Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization},
  author = {Yongsung Park and Peter Gerstoft},
  booktitle = {ICASSP 2020},
  year = {2020}
}