Open AccessJoint estimation of DOA and channel errors with sparse recovery for SKA low‐frequency array
Author(s) -
Zhang Fuqiang,
Zhang Zenghui,
He Jin,
Yu Wenxian,
Cao Rui
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0690
Subject(s) - computer science , a priori and a posteriori , algorithm , joint (building) , channel (broadcasting) , direction of arrival , convergence (economics) , sparse array , telecommunications , antenna (radio) , engineering , architectural engineering , philosophy , epistemology , economics , economic growth
Here, the authors present an improved and fast sparse recovery method for joint estimation of channel errors and direction of arrival (DOA) for square kilometre antennas low‐frequency array. Since this array is formed of a large number of antennas and distributed in a very large space, array calibration is a vital step to provide accurate signal information. Then, channel errors are the concerns here, which are assumed to be localised in a priori known interval. To achieve the joint estimation, an approach is proposed by using the alternative optimisation strategy, which theoretically gives convergence results. In detail, the basis pursuit de‐noising (BPDN) algorithm and the proximal algorithm are used to estimate the DOA and the array errors, respectively, and the final results are obtained by alternatively solving these two algorithms. Finally, numerical simulation results are presented to demonstrate the effectiveness of their proposed method.