In this paper, a novel approach, namely kernel projection vector space (KPVS), is proposed
for radar target recognition using high-resolution range profile (HRRP). First, the HRRP …

A novel machine learning method named multiclass multiple kernel learning based on
support vector data description with negative (MMKL-NSVDD) is developed to classify the …

The sparse representation of signal via dictionary learning algorithms is widely used in
signal processing field. Since there is redundancy in the new space defined by …

It is known that the subspace method is effective for radar target recognition. Its key step is to
find a suitable low-dimensional subspace. In this paper, a novel subspace method, namely …

In this paper, a novel target recognition method, namely orthogonal maximum margin
projection subspace (OMMPS), is proposed for radar target recognition using high …

A new scheme of radar target recognition based on parameterized high resolution range
profiles (PHRRP) is presented in this paper. A novel criterion called generalized-weighted …

Radar high range resolution profile (HRRP) contains target structure information. It is shown
to be a promising signature for radar automatic target recognition. As a method for data …

This paper is focused on the feature extraction techniques of radar high range resolution
profiles (HRRPs). In order to release the translational sensitivity of HRRPs, two translation …

Radar high resolution range profile (HRRP) is sensitive to the target aspect and highly
overlapped in feature space between different targets, thereby hybrid features are suitable …