Abstract
In this paper, we investigate the problem of direction of arrival (DOA) estimation of unfolded coprime arrays with successive-MUSIC algorithm which cascades multiple signal classification (MUSIC) algorithm and rotational invariance techniques (ESPRIT).We propose An algorithm with low computational complexity and high estimation accuracy, which first use ESPRIT algorithm for initial estimation, then according to the results of initial estimation narrow the search scope, finally, more accurate estimation results are obtained by MUSIC algorithm. Compared with the traditional MUSIC algorithm, this algorithm only needs to conduct a small range of angle search, which greatly reduces the algorithm complexity. Compared with the traditional ESPRIT algorithm, this algorithm also effectively improves the angle estimation performance of the algorithm. Moreover, comparing with traditional coprime linear arrays, the enhanced degrees of freedom (DOFs) can be achieved due to larger array aperture, Simulations are presented to validate the superiority of the proposed algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
