Paper Info
Title
Modeling error sensitivity of the MUSIC algorithm conditioned on resolved sources
Abstract
When the correlation matrix is known, the resolution power of subspace algorithms is inflnite. In the presence of mod- elling errors, even if the correlation matrix is known, sources can no longer be resolved with certainty. Focusing on the MUSIC algorithm (1), the purpose of this work is to provide closed form expression of bias and variance versus the model mismatch (these errors can be difierent for each source). Un- like previous work, these performance measures are derived conditioned on the success of a certain source resolution test. Among the resolution deflnitions proposed in (2), we investi- gate which one is more suitable for our purposes. Numerical results support the theoretical investigations. Our flndings are of a great interest for the determination of the necessary antenna calibration accuracy to achieve speciflcations on the estimator performance.
Year
Venue
Keywords
2008
EUSIPCO
antennas,calibration,correlation methods,matrix algebra,signal classification,music algorithm,antenna calibration accuracy,closed form expression,correlation matrix,error sensitivity,multiple signal classification,resolution definitions,resolution power,resolved sources,source resolution test,subspace algorithms
Field
DocType
ISSN
Antenna calibration,Multiple signal classification,Algorithm,Closed-form expression,Speech recognition,Covariance matrix,Subspace algorithms,Mathematics,Estimator
Conference
2219-5491
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
A. Ferreol130525.51
Pascal Larzabal253564.76
M. Viberg3917188.13