A kernel optimization method based on fusion kernel for high-resolution range profile
(HRRP) is proposed in this paper. Based on the fusion of-norm and-norm Gaussian kernels …

A kernel optimization based on fusion kernel for HRRP is proposed in this paper. Based on
the fusion of the 1-norm and 2-norm Gaussian kernels, our method combines the different …

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 …

Kernel based nonlinear feature extraction approaches, kernel principal component analysis
(KPCA) and kernel independent component analysis (KICA), are used for radar high range …

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

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 …

With the improvement of radar resolution, the dimension of the high resolution range profile
(HRRP) has increased. In order to solve the small sample problem caused by the increase …

The radar automatic target recognition (RATR) base on the radar target High-Resolution
Range Profile (HR-RP) plays an important role in military and civilian field. But the target …

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 …

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 …