A New Method for Sorting Radar Signal Based on Entropy Features

DOI

10.2991/csece-18.2018.1How to use a DOI?

Keywords

component: sort; entropy feature; subspace; the Wigner distribution; bispectrum

Abstract

In order to figure out shortcomings of the existing method, such as the accuracy is not high and the method is sensitive to noise, we firstly Obtain the Wigner distribution space and bispectrum space for the received radar signal, then divide the space into subspace. Under the subspace distribution probability, the information entropy features of radar signals are constructed into two-dimensional eigenvectors, which reflects the energy distribution of the signal in these two spaces. Through the simulation results, it shows that extracted characteristic parameters have good separation and stability in the range of wide signal to noise ratio, verifying the validity of the method in this passage.

Copyright

© 2018, 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/).

Download article (PDF)

TY  - CONF
AU  - Jun Han
AU  - Xiaofei Lu
AU  - Minghao He
AU  - Xiaojie Tang
PY  - 2018/02
DA  - 2018/02
TI  - A New Method for Sorting Radar Signal Based on Entropy Features
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.1
DO  - 10.2991/csece-18.2018.1
ID  - Han2018/02
ER  -