摘要
针对复杂电磁环境下跳频信号检测的实际需求，根据跳频信号的特征，充分利用已有的信号时频分析技术和宽带测向技术，提出一种快速跳频信号检测方法。先利用一种新的自适应门限去噪方法。对海量复杂数据进行预处理，较好地消除了噪声的影响；然后利用改进的数据流聚类算法，对信号进行“来波方位一幅度”聚类，实现了不同跳频信号的分选。实验结果表明，该方法能够有效地检测出跳频信号。具有很强的实效性。
According to the characteristics of FH signals, this paper presented an effcient FH signal detecting method in complex electromagnetic environment. Combined with the theory of wide-band direction finding and time-frequency analysis, this paper improved the adaptive denoising method to preprocess mass complex data which have been received, and used a new data stream clustering method to sort the FH signals. The experimental results show that our method can detect FH signals effectively and its validiW is verified.
出处
《通信对抗》
2010年第1期28-32,共5页
Communication Countermeasures
关键词
跳频信号
数据流聚类
自适应门限去噪
frequency hopping（FH） signal
data stream clustering
adaptive denoising
