Open AccessOff‐grid DOA estimation for nested array using atomic norm minimisation
Author(s) -
Jiang Hong,
Tang WenGen,
Pang ShuaiXuan
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2018.6532
Subject(s) - minimisation (clinical trials) , subspace topology , grid , algorithm , compressed sensing , computer science , norm (philosophy) , mathematics , mathematical optimization , artificial intelligence , geometry , statistics , political science , law
Nested array (NA) has received much attention for providing more degrees of freedom compared with the traditional uniform linear array. An off‐grid compressed sensing (CS) method is proposed using atomic norm minimisation for NA to identify the unknown direction‐of‐arrival of multiple sources, which overcomes the drawback of grid‐mismatch effect of the conventional CS algorithms such as orthogonal matching pursuit, and achieves better performance than the subspace methods. Simulation results verify the effectiveness of the proposed method.