For radar high resolution range profile (HRRP) recognition, three aspects are of great
importance to improve the performance, ie discrimination for outlier, classification for inner …

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 …

For radar automatic target recognition, the features should be extracted with sufficient target
information, high discrimination, noise robustness and low feature vector dimension. In this …

A novel machine learning method named least square support vector data description
(LSSVDD) is developed to classify the FFT-magnitude feature of complex high-resolution …

Abstract For radar High Resolution Range Profile (HRRP) automatic target recognition, the
features should be extracted with sufficient target information, high discrimination, noise …

Radar high-resolution range profile (HRRP) has received intensive attention from the radar
automatic target recognition (RATR) community. Usually, since the initial phase of a complex …

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

Abstract Radar High Range Resolution Profiles (HRRP) provide potentially discriminative
information on the geometry of target, which has been shown to be promising signatures for …

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 …

Abstract Radar High Range Resolution Profile (HRRP) is very sensitive to target aspect
variation. To deal with this problem, usually, multiple statistical models are built for different …