Title :
Plane HRRP rejection based on SVDD technology
Author :
Li, Qing ; Li, Bin ; Yang, Zhenglong
Author_Institution :
Nanjing Research Institute of Electronic Technology, CETC, Nanjing, 210013, China
Abstract :
Recognition of Plane HRRP has received intensive attention in the radar signal processing. When using automatic identification techniques in the process of radar HRRP, it is more important that to reject the unknown target which is not belonging to any class of the label models. This paper introduces how to overcome such problem when dealing with a new plane sample by Support Vector Data Description (SVDD) machine. Experiments on the real radar data show the validation and feasibility of the proposed method.
Keywords :
Accuracy; Feature extraction; Radar; Sensitivity; Support vector machines; Target recognition; Training; HRRP; SVDD; rejection; target;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location :
Seoul, Korea (South)
Print_ISBN :
978-1-4577-1351-4
