Name
Abstract | ||
|---|---|---|
In this work, we propose an alternating low-rank decomposition (ALRD) approach and novel subspace algorithms for direction-of-arrival (DOA) estimation. In the ALRD scheme, the decomposition matrix for rank reduction consists of a set of basis vectors. A low-rank auxiliary parameter vector is then employed to compute the output power spectrum. Alternating optimization strategies based on recursive ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2016.2541688 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Signal processing algorithms,Direction-of-arrival estimation,Estimation,Sensor arrays,Matrix decomposition,Optimization | Matrix (mathematics),Uncorrelated,Spectral density,Artificial intelligence,Decomposition,Mathematical optimization,Pattern recognition,Matrix decomposition,Algorithm,Subspace algorithms,Basis (linear algebra),Recursive least squares filter,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 5 | 1070-9908 |
Citations | PageRank | References |
10 | 0.42 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linzheng Qiu | 1 | 15 | 1.17 |
| Yunlong Cai | 2 | 86 | 11.26 |
| Rodrigo C. de Lamare | 3 | 1461 | 179.59 |
| Minjian Zhao | 4 | 224 | 34.77 |