Enhanced Matrix CFAR Detection With Dimensionality Reduction of Riemannian Manifold.
Zheng YangYongqiang ChengHao WuHongqiang WangPublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- dimensionality reduction
- riemannian manifolds
- nonlinear dimensionality reduction
- symmetric positive definite
- lie group
- target detection
- euclidean space
- manifold learning
- square root
- covariance matrix
- singular value decomposition
- low dimensional
- detection algorithm
- feature extraction
- vector space
- high dimensional data
- random projections
- high dimensionality
- kernel pca
- principal component analysis
- high dimensional
- feature space
- geometric structure
- covariance matrices
- dimension reduction
- positive definite