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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| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| 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 |