Localization for mixed near-field and far-field sources using data supported optimization

Localization for mixed near-field and far-field sources using data supported optimization

Recently, localization for the coexistence of the far-field and near-field sources has received more attentions. In this paper, a maximum likelihood (ML) localization method using data supported optimization is considered. The range and direction of arrival (DOA) of the sources are estimated sequent...

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Bibliographic Details
Main Authors: Wen, Fuxi, Tay, Wee Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/96421
http://hdl.handle.net/10220/10631
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289831&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6269381%2F6289713%2F06289831.pdf%3Farnumber%3D6289831
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/96421
http://hdl.handle.net/10220/10631
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289831&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6269381%2F6289713%2F06289831.pdf%3Farnumber%3D6289831

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