Name
Title | ||
|---|---|---|
Generalization and analysis of the conventional beamformer for localization of spatially distributed sources |
Abstract | ||
|---|---|---|
In this paper, we generalize the point source-based conven- tional beamformer (CBF) to localization of multiple dis- tributed sources that appear in sensor array processing. A distributed source is commonly parameterized by its mean angle and spatial spread. The generalized CBF uses the principal eigenvector of the parameterized signal covariance matrix as its optimal weight vector, which is also shown to be a matched filter. The desired parameter estimates are taken as the peaks of the generalized 2-dimensional beamforming spectrum. Further, the performance of the algorithm is com- pared numerically to a generalized Capon estimator (1). Fi- nally, an asymptotic performance analysis of the proposed algorithm is provided and numerically verified. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | array signal processing,covariance matrices,eigenvalues and eigenfunctions,matched filters,sensor arrays,asymptotic performance analysis,distributed source,eigenvector,generalized 2-dimensional beamforming spectrum,generalized cbf,generalized capon estimator,matched filter,multiple distributed sources,parameterized signal covariance matrix,sensor array processing,source-based conventional beamformer,spatially distributed sources localization |
Field | DocType | ISSN |
Beamforming,Parameterized complexity,Mathematical optimization,Sensor array,Algorithm,Point source,Covariance matrix,Matched filter,Eigenvalues and eigenvectors,Mathematics,Estimator | Conference | 2219-5491 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikael Coldrey | 1 | 357 | 20.97 |
| M. Viberg | 2 | 917 | 188.13 |