The Feature Description and Identification Method of Radar Signal Based on Kernel Density Estimation

DOI

10.2991/iccsee.2013.97How to use a DOI?

Keywords

kernel density estimation, radar emitter signal, basic paramete, template matching

Abstract

Along with the development of modern radar technology, the radar signal system is more and more complicated. This makes the description way of the existing radar signal feature cannot effectively express and analysis it's characteristic. Therefore, in this kind of situation, a description method of radar emitter signal feature based on kernel density estimation is proposed. This method takes the probability density curve from kernel density estimation algorithm as radar emitter signal parameters characteristics stored into database, and on this basis a radar emitter signal recognition algorithm based on template matching is proposed.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fei YE
AU  - Xin Wang
AU  - Xingrong Gao
AU  - Jun Luo
PY  - 2013/03
DA  - 2013/03
TI  - The Feature Description and Identification Method of Radar Signal Based on Kernel Density Estimation
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 379
EP  - 381
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.97
DO  - 10.2991/iccsee.2013.97
ID  - YE2013/03
ER  -