Two-dimensional DOA Estimation Based on Reweighted Decoupled Atomic Norm Minimization
Jiaqiang Peng, Guimei Zheng · 2021 CIE International Conference on Radar (Radar) · 2021
In this paper, the reweighting strategy is introduced into the decoupled atomic norm minimization(DANM) algorithm to obtain the reweighted decoupled atomic norm minimization(RDANM) algorithm. The algorithm can automatically obtain the order of the model on the basis of maintaining the excellent characteristics of the original algorithm, and improve the resolution of the angle estimation. Therefore, applying it to two-dimensional direction of arrival(DOA) estimation can not only obtain efficient calculation efficiency, but also have higher angle estimation resolution without the model order as a priori information.