Abstract
This paper considers the problems of synchronous orthogonal frequency-hopping (FH) signals separation and direction of arrival (DOA) estimation in the underdetermined situation. First of all, in order to estimate the mixing matrix of the FH signals, we stack the two-dimensional covariance matrices of the received FH signals into a third-order tensor, and then, an estimation approach based on the tensor decomposition method is developed to calculate this mixing matrix. Next, to separate these FH signals, a modified source recovery method is proposed. Finally, the DOAs of the FH signals are also obtained. Numerical results demonstrate that compared with the existing algorithms, the proposed algorithm not only presents superior performance but also requires less sparsity limitation and cost time.
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 callDisclaimer: 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.
