Open AccessThree‐Dimension Localization of Wideband Sources Using Sensor Network
Author(s) -
Zhang Yong,
He Peiyu,
Pan Fan
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.07.003
Subject(s) - computer science , subspace topology , direction of arrival , wideband , node (physics) , dimension (graph theory) , noise (video) , matching (statistics) , wireless sensor network , projection (relational algebra) , function (biology) , algorithm , direction finding , artificial intelligence , mathematics , acoustics , telecommunications , image (mathematics) , electronic engineering , physics , antenna (radio) , computer network , evolutionary biology , pure mathematics , engineering , biology , statistics
Usually source localization using sensor networks requires many sensors to localize a few number of sources, and it is still very troublesome to deal with coherent sources. When the three‐dimensional (3‐D) space are considered, the localization will become more difficult. A new approach is proposed to localize 3‐D wideband coherent sources based on distributed sensor network, which consists of two nodes and each node contains only two sensors. Direction‐of‐arrival (DOA) estimation is performed at each node by employing a new noise subspace proposed. Combining the pattern matching idea and the prior geometrical information of sources, a cost function is constructed to estimate the rough positions. A rotational projection algorithm is proposed to estimate the heights of sources and correct the rough positions, and consequently the localization of 3‐D sources could be achieved. Numerical examples are provided to demonstrate the effectiveness of this approach.