Title
Source number estimation in impulsive noise environments using bootstrap techniques and robust statistics
Abstract
We consider the problem of source number estimation in array processing when impulsive noise is present. To combat impulsive noise more effectively, two robust estimators with high breakdown points, i.e., the minimum covariance determinant (MCD) estimator and the MM-estimator are applied in combination with the bootstrap. The MCD estimator is applied to discard the outliers in observations caused by impulsive noise, while the MM-estimator is suggested to estimate robustly the covariance matrix of observations. Simulations show the significant performance gain offered by the two proposed methods in terms of correctly estimating the number of sources at low SNR in the presence of impulsive noise.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5947045
ICASSP
Keywords
Field
DocType
impulsive noise,array processing,source number estimation,robust statistics,bootstrap,estimation,covariance matrix,signal to noise ratio,robust estimator,robustness,impulse noise
Array processing,Mathematical optimization,Computer science,Signal-to-noise ratio,Outlier,Robust statistics,Robustness (computer science),Covariance matrix,Covariance,Estimator
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4577-0537-3
978-1-4577-0537-3
8
PageRank 
References 
Authors
0.52
4
3
Name
Order
Citations
PageRank
Zhihua Lu180.52
Yacine Chakhchoukh21037.18
Abdelhak M. Zoubir31036148.03