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Sparse Bayesian Learning for DOA Estimation with Mutual Coupling
Sparse Bayesian learning (SBL) has given renewed interest to the problem of direction-of-arrival (DOA) estimation. It is generally assumed that the measurement matrix in SBL is precisely known. Unfortunately, this assumption may be invalid in practice due to the imperfect manifold caused by unknown...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4634432/ https://ncbi.nlm.nih.gov/pubmed/26501284 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s151026267 |
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