Abstract
In this study, a new mixed near-field and far-field sources localisation algorithm based on sparse signal recovery is addressed. In this scheme, two special cumulant vectors are constructed successively, the first one is used to obtain the azimuth estimations of all the incoming signals, and the second one is used to distinguish the mixed sources as well as estimate the range related to the near-field sources. The reweighted l 1 -norm minimisation with one iteration is utilised for sparse signal recovery. In the recovery process, the authors propose to select the regularisation parameter by a special case of 2-fold cross-validation. The simulation results demonstrate the effectiveness and the efficiency of the proposed algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.