Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

A New Method for Sorting Radar Signal Based on Entropy Features

Authors
Jun Han, Xiaofei Lu, Minghao He, Xiaojie Tang
Corresponding Author
Jun Han
Available Online February 2018.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/csece-18.2018.1
ID  - Han2018/02
ER  -