Gridless DOA Estimation With Multiple Frequencies

Direction-of-arrival (DOA) estimation is widely applied in acoustic source localization. A multi-frequency model is suitable for characterizing the broadband structure in acoustic signals. In this paper, the continuous (gridless) DOA estimation problem with multiple frequencies is considered. This problem is formulated as an atomic norm minimization (ANM) problem. The ANM problem is equivalent to a semi-definite program (SDP) which can be solved by an off-the-shelf SDP solver. The dual certificate condition is provided to certify the optimality of the SDP solution so that the sources can be localized by finding the roots of a polynomial. We also construct the dual polynomial to satisfy the dual certificate condition and show that such a construction exists when the source amplitude has a uniform magnitude. In multi-frequency ANM, spatial aliasing of DOAs at higher frequencies can cause challenges. We discuss this issue extensively and propose a robust solution to combat aliasing. Numerical results support our theoretical findings and demonstrate the effectiveness of the proposed method.

Automated summary

This paper addresses the continuous DOA estimation problem with multiple frequencies using an atomic norm minimization approach. The problem is formulated as a semi-definite program, which can be solved by an SDP solver. The authors provide a dual certificate condition to certify the optimality of the SDP solution and propose a robust solution to combat spatial aliasing. Numerical results support the theoretical findings and demonstrate the effectiveness of the proposed method.