Name
Abstract | ||
|---|---|---|
The presence of impulsive noise can severely degrade the accuracy performance of conventional direction of arrival (DOA) estimation algorithms, such as MUSIC and ESPIRIT. We propose a two-stage robust adaptive trimming approach. We first apply Shapiro-Wilk's goodness-of-fit W test for Gaussianity, as a preprocessing stage. We then robustly estimate the covariance matrix in order to minimize the impact of impulsive noise on conventional DOA estimation algorithms. Numerical simulations are presented to illustrate the efficacy of the proposed approach for high resolution direction finding in highly-impulsive environments. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/LSP.2009.2019740 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
impulsive noise,impulse noise,shapiro-wilk goodness-of-fit w test method,shapiro-wilk's $w$ test,covariance matrices,high-resolution direction finding scheme,music algorithm,robust adaptive trimming,doa estimation algorithm,direction-of-arrival estimation,signal resolution,direction-finding,robust adaptive trimming method,covariance matrix,high resolution,direction of arrival,numerical simulation,goodness of fit | Direction finding,Computer simulation,Direction of arrival,Gaussian process,Artificial intelligence,Impulse noise,Pattern recognition,Algorithm,Speech recognition,Noise shaping,Covariance matrix,Trimming,Mathematics | Journal |
Volume | Issue | ISSN |
16 | 7 | 1070-9908 |
Citations | PageRank | References |
6 | 0.67 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin-heng Lim | 1 | 63 | 7.56 |
| Chong Meng Samson See | 2 | 175 | 19.41 |
| Abdelhak M. Zoubir | 3 | 1036 | 148.03 |
| Boon Poh Ng | 4 | 178 | 26.11 |