Super-resolution DOA estimation based on sparse spectrum fitting

Abstract

The ambient noise at any two different sensors, in practice, may correlate with each other, and the spatial distribution of ambient noise intensity may be directional because of wind and shipping noise sources. A linear harmonic noise model is considered in this paper to appropriately describe the ambient noise. By applying l2-norm penalization of fitting the source covariance model to the estimated spatial covariance and the linear harmonic noise model, super-resolution direction of arrival(DOA) estimation algorithm based on sparse spectrum fitting is proposed. Then, the influence of the regular parameters and the number of linear noise model on the performance of the algorithm is discussed by computer simulations. The performance of the proposed algorithm is verified by the data processing of the sea trial data.

Keywords

• sparse spectrum fitting
• DOA estimation
• super-resolution
• directional background noise