Robust widely linear adaptive MVDR beamformer based on interference-plus-noise covariance matrix and steering vector estimation.
Yonghua WangLei HuangYunmei ShiPublished in: ChinaSIP (2015)
Keyphrases
- estimation error
- covariance matrix
- minimum variance
- symmetric matrix
- pseudo inverse
- covariance matrices
- eigenvalues and eigenvectors
- signal subspace
- transformation matrix
- correlation matrix
- mahalanobis distance
- principal component analysis
- multipath
- positive definite
- signal to noise ratio
- sample size
- class conditional densities
- noise model
- linear prediction
- image noise
- computer vision
- gaussian mixture
- eigendecomposition
- gaussian noise
- closed form
- upper bound
- multivariate gaussian
- feature vectors
- optimal solution
- objective function