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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.