Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

A Radar Signal Sorting Algorithm Based On Entropy Features Set Pair Analysis

Authors
JianFeng Pu, Hui Chen, XuZhou Zhang, Qian Ma, XingWen Dong
Corresponding Author
JianFeng Pu
Available Online May 2016.
DOI
10.2991/wartia-16.2016.248How to use a DOI?
Keywords
Signal Sorting,Set pair analysis,entropy features,Sorting index
Abstract

Facing the problem of the difficulty to sort the radar signal under the complex battlefield environment, this algorithm can sort the unconbentionality radar signal of jittered PRI or staggered PRI in real-time effectively with high-accuracy, using the principle of Set Pair Analysis and taking the entropy feature as its index weight in real time efficiently. The algorithm can solve the problem of confirming the value of the allowance in traditional algorithm. The result shows that: compared to the traditional algorithm, the algorithm can improve the efficiency of 5.7% clustering accuracy enhance and 16% time saving for 10 kinds of the typical radar signal.

Copyright
© 2016, 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)

Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.248How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - JianFeng Pu
AU  - Hui Chen
AU  - XuZhou Zhang
AU  - Qian Ma
AU  - XingWen Dong
PY  - 2016/05
DA  - 2016/05
TI  - A Radar Signal Sorting Algorithm Based On Entropy Features Set Pair Analysis
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1166
EP  - 1171
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.248
DO  - 10.2991/wartia-16.2016.248
ID  - Pu2016/05
ER  -