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2-D DOA tracking using variational sparse Bayesian learning embedded with Kalman filter
Abstract In this paper, we consider the 2-D direction-of-arrival (DOA) tracking problem. The signals are captured by a uniform spherical array and therefore can be analyzed in the spherical harmonics domain. Exploiting the sparsity of source DOAs in the whole angular region, we propose a novel DOA t...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2018-04-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Assuntos: | |
| Acceso en liña: | http://link.springer.com/article/10.1186/s13634-018-0541-0 |
| Tags: |
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