| 摘要: |
| 为了解决雷达信号分选中准确性与实时性相矛盾的问题，提出了一种基于数据流聚
类的动态信号分选框架。该框架分为在线和离线两部分，在线部分利用网格帧保存侦察数据
的概要信息；离线部分通过网格聚类算法对网格帧进行聚类分选，并得到分选结果。仿真实
验表明，该框架能够分选高密度复杂侦察数据流，对噪声不敏感，且无需先验知识支撑，能
够较好地满足信号分选准确性和实时性的需要。 |
| 关键词: 雷达信号分选 数据流 网格聚类 实时性 |
| DOI： |
|
| 基金项目: |
|
| A dynamic frame of signal sorting based on data stream clustering |
| ZHANG Guo-yi,WANG Xiao-feng,ZHANG Xu-zhou |
| (Department of Aviation Communication Counter,Aviation University of Air Force,C
hangchun 130022,China) |
| Abstract: |
| In order to solve the contradiction between the accuracy and the real
time in radar signal sorting, a dynamic signal sorting frame based on data strea
m clus
tering is proposed. The frame can be divided into two parts,or online part and o
f
fline part. In online part, the reconnaissance data is transformed and saved as
grid frame.In offline part, the grid frame is sorted with the algorithm of gr
idbased clustering. Experimental results show that the proposed frame can sort
the high density and complex reconnaissance data stream without any prior knowle
dge, and is not sensitive to the influence of noise. The requirement of accuracy
and realtime in signal sorting can be satisfied with this frame. |
| Key words: radar signal sorting data stream grid based clustering real time |
