Name
Abstract | ||
|---|---|---|
Dictionary mismatch caused by finite spatial discretization and off-grid situation leads to performance degradation in sparse-representation-based direction-of-arrival (DOA) estimation. In this paper, a procedure implementing DOA estimation and rectification of dictionary in an alternating way is designed. A strategy using noise subspace fitting (NSF) is proposed to estimate the direction bias and therewith treat the dictionary mismatch. Based on NSF, the dictionary rectification model is extended from first-order to second-order Taylor approximation to achieve higher modeling accuracy. Simulation results show that improved DOA estimation performance can be achieved for off-grid targets. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) | off-grid DOA estimation, sparse representation, dictionary mismatch, noise subspace fitting, Taylor approximation |
Field | DocType | Citations |
Discretization,Rectification,Subspace topology,Pattern recognition,Computer science,Sparse approximation,Artificial intelligence,Grid,Taylor series | Conference | 2 |
PageRank | References | Authors |
0.38 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiping Duan | 1 | 137 | 13.43 |
| Zhigang Qian | 2 | 2 | 0.38 |
| Yanyan Wang | 3 | 21 | 8.87 |