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Sparsity-Aware Noise Subspace Fitting for DOA Estimation
We propose a sparsity-aware noise subspace fitting (SANSF) algorithm for direction-of-arrival (DOA) estimation using an array of sensors. The proposed SANSF algorithm is developed from the optimally weighted noise subspace fitting criterion. Our formulation leads to a convex linearly constrained qua...
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| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6982932/ https://ncbi.nlm.nih.gov/pubmed/31877776 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010081 |
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