摘要
在高密度复杂的雷达信号环境下,针对使用集对分析进行信号分选时,分选结果易受联系度取值影响的问题,提出了一种实时稳定有效的信号分选方法。通过采用集对分析对脉冲流进行预分选,再结合高维数据聚类的方法实现分选效果。经过仿真对比分析,实验结果表明该方法在含有噪声脉冲的情况下仍具有较高的识别率。
Since the separation result is susceptible to relational degree in an environment of high density complex radar sig-nal when set pair analysis method is used for signal separation,a real-time stabilization method which can effectively achieve the radar signal sorting is proposed. The separation of pulse stream is realized by employing the set pair analysis to preassign pulse stream,and combining it with high dimensional data clustering method. The results of simulation and contrast analysis show that this method still has higher recognition accuracy even in the case of noise pulse.
出处
《现代电子技术》
2014年第9期8-11,共4页
Modern Electronics Technique
关键词
信号分选
集对分析
高维数据
仿真分析
signal sorting
set pair analysis
high dimensional data
simulation analysis
