摘要
针对现有网格聚类中网格划分方法不能较好地适应所有数据分布、网格边界处理精度低等问题,提出基于自适应网格密度聚类的雷达信号快速分选算法。该算法首先引入了网格均匀度的概念,然后给出了自适应网格划分技术和网格均匀度的计算方法,最后进行均匀度可达聚类。该算法能自适应地发现不同密度的类及其边界,适合处理大规模侦察数据集。仿真实验表明该算法能有效适用于雷达信号分选。
The methods to partition grids in existing grid clustering can＇t better adapt to all of the data distribution, and the grid boundary processing accuracy is low. So a radar signal sorting algorithm is proposed based on the adaptive grid density clustering radar signal. The algorithm first introduces the concept of grid uniformity, and then gives the method to partition the grids adaptively and calculate grid evenness, and finally clustering based on grid uniformity. The algorithm can find a class with different densities and its borders adaptively, suitable for handling large-scale reconnaissance data set. Simulation results show that the algorithm can be effectively applied to radar signal sorting.
出处
《航天电子对抗》
2013年第2期50-53,共4页
Aerospace Electronic Warfare
关键词
雷达信号分选
预分选
网格密度聚类
自适应网格
radar signal sorting
pre - sorting
grid density clustering
adaptive grid
