Matrix extension for pathological radar clutter machine learning
This paper deals with radar clutter statistical learning based on spatial Doppler fluctuation. In
articles [1]-[4], data is clustered cell by cell. In this article, we generalize the previous model
to extract information not only from each cell independently, but also from the cells spatial
correlation. We first introduce the radar data, then the model and efficient tools to estimate
the model parameters. The model parameters will be shown to be Hermitian Positive
Definite Block-Toeplitz matrices. Next we endow the manifold of Hermitian Positive Definite …
articles [1]-[4], data is clustered cell by cell. In this article, we generalize the previous model
to extract information not only from each cell independently, but also from the cells spatial
correlation. We first introduce the radar data, then the model and efficient tools to estimate
the model parameters. The model parameters will be shown to be Hermitian Positive
Definite Block-Toeplitz matrices. Next we endow the manifold of Hermitian Positive Definite …
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