Direction of arrival estimation in the presence of noise with unknown, arbitrary covariance matrices.
James P. ReillyKon Max WongP. M. ReillyPublished in: ICASSP (1989)
Keyphrases
- signal subspace
- covariance matrices
- covariance matrix
- correlation matrix
- direction of arrival
- estimation error
- doa estimation
- maximum likelihood
- linear array
- distance measure
- sensor array
- sample size
- principal component analysis
- synthetic aperture radar
- gaussian mixture model
- gaussian distribution
- gaussian mixture
- hyperspectral
- vector space
- parameter estimation
- objective function
- noise level
- canonical correlation analysis
- eigenvalue decomposition
- feature selection
- principal components
- signal to noise ratio
- feature vectors