Title :
Sparse-representation-based adaptive interference suppression
Author :
Yishu Shi;Feng-Xiang Ge; Ying Chen;Suiling Ren
Author_Institution :
College of Information Science and Technology, Beijing Normal University, China
Abstract :
Passive sources localization in the presence of strong interferences is generally a difficult problem. A sparse-representation-based adaptive interference suppression (SRAIS) method is proposed in this paper for interference suppression and bearing estimation, which can reduce the power loss of the TOI signal and have more accurate direction-of-arrival (DOA) estimation, especially when the input powers of the TOI signal and the interferences are at the almost same level. Simulation and experimental results are also given.
Keywords :
"Interference suppression","Signal to noise ratio","Arrays","Direction-of-arrival estimation","Acoustics","Estimation"
Conference_Titel :
OCEANS´15 MTS/IEEE Washington
