Name
Abstract | ||
|---|---|---|
The presence of impulsive noise can severely degrade the accuracy performance of conventional direction of arrival es- timation algorithms. In this paper, we propose a non-linear transformation function to suppress the impulsive noise. The proposed function is called Modified Modulus Transforma- tion and it is used to preprocess the impulsive noise con- taminated signal prior to covariance estimation. Simula- tion results are presented to illustrate the efficacy of the proposed approach for high resolution direction finding in highly-impulsive environments. This observation is also cor- roborated with real data. |
Year | Venue | Field |
|---|---|---|
2009 | European Signal Processing Conference | Direction finding,Estimation of covariance matrices,Transformation (function),Direction of arrival,Modulus,Algorithm,Speech recognition,Mathematics |
DocType | ISBN | Citations |
Conference | 978-161-7388-76-7 | 1 |
PageRank | References | Authors |
0.38 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin-heng Lim | 1 | 63 | 7.56 |
| Joni Polili Lie | 2 | 63 | 7.43 |
| Chong Meng Samson See | 3 | 175 | 19.41 |
| Abdelhak M. Zoubir | 4 | 316 | 47.52 |