Radar high resolution range profile recognition via multi-SV method

For radar high resolution range profile (HRRP) recognition, three aspects are of great importance to improve the performance, i.e. discrimination for outlier, classification for inner and an accurate description for feature space. To tackle these issues, a novel target recognition method is designed...

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Bibliographic Details
Published in:Journal of systems engineering and electronics 2017-10, Vol.28 (5), p.879-889
Main Authors: Li, Long, Liu, Zheng, Li, Tao
Format: Article
Language:English
Subjects:
profile
support
radar
range
recognition
high
resolution
target
vector
discrimination
classification
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Summary:For radar high resolution range profile (HRRP) recognition, three aspects are of great importance to improve the performance, i.e. discrimination for outlier, classification for inner and an accurate description for feature space. To tackle these issues, a novel target recognition method is designed, denoted by the multiple support vectors (multi-SV) method. With the proposed method, a special framework is constructed by a treble correlate support vector model to segment the feature space to two regions with the distribution of density, and then the description and classification hyperplane for each region are achieved. Based on the support vector framework, this method needs less memory and computation complexity to fit practical radar HRRP recognition. Finally, the experiment based on the measured data verifies the excellent performance of this method.
ISSN:1004-4132
DOI:10.21629/JSEE.2017.05.07