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/).
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 -