Presentation Information
[B-1C-41]DOA Estimation Using Sparse Arrays with Multi-Frequency Information and Covariance Matrix Interpolation
◎Hiroki Niiyama1, Steven Wandale1, Koichi Ichige1 (1. Yokohama National Univ.)
Keywords:
DOA estimation,Sparse array,Multiple Frequencies,Matrix completion,Spline interpolation
In Direction of Arrival (DOA) estimation using sparse arrays, estimation performance deteriorates when the virtual array becomes discontinuous due to the holes in the difference coarray. To address this issue, hole reduction methods based on the use of multiple frequencies and missing-element estimation methods based on spline interpolation have been proposed.
While these approaches have been studied independently, this paper proposes a DOA estimation method that combines multiple-frequency processing with covariance matrix interpolation. Simulation results demonstrate that the proposed method effectively compensates for holes in the virtual array and improves DOA estimation accuracy.
While these approaches have been studied independently, this paper proposes a DOA estimation method that combines multiple-frequency processing with covariance matrix interpolation. Simulation results demonstrate that the proposed method effectively compensates for holes in the virtual array and improves DOA estimation accuracy.