New method for improving the performance of radar HRRP recognition and rejection
Zheng Bao · Journal of Xidian University · 2009
Multi-kernel SVDD is proposed on the basis of SVDD.Due to the disadvantage of having too simple a kernel formation,the SVDD is expanded from a single Gaussian kernel to a linear combination of multi-Gaussian kernels.The resulting multi-kernel SVDD could be expressed as an SDP problem,so it could be solved with the global optimal solution.The proposed method employs a more complicated kernel formation,which can describe the distributing boundary of training examples in high-dimension feature space more flexibly,thus leading to a much higher recognition rate and a much lower false rate than the SVDD.