摘要
研究广度优先搜索邻居的聚类算法和直方图法用于雷达信号分选和特征提取的原理和方法,并将两者相结合用于雷达信号分析使分选和特征提取更加准确。仿真实验证明联合处理法是高效和实用的。
The methods of Broad First Search Neighbors (BFSN) and histogram used in radar signals deinterleaving and signature extracting are studied in this paper. The combination of these two methods in analyzing radar signals makes deinterleaving and signature extracting more accurately. Simulation examples prove that the combination of these two methods is more effective and practical.
出处
《火控雷达技术》
2007年第3期51-56,共6页
Fire Control Radar Technology
基金
总装武器装备预研基金项目(51435020105JB3901)
关键词
BFSN
信号分选
孤立点
特征提取
BFSN
signal deinterleaving
outlier
signature extracting