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中文摘要：
分析短波波段复杂电磁环境下跳频信号检测存在的难点，并根据短波通信信号的特点，提出一种时间、频谱和幅度关联的检测方法，称之为时频幅三维关联法。文章主要结合商空间粒度分析理论，提出改进的覆盖聚类算法，并对截获的海量复杂数据进行预处理，消除了噪声，然后运用时频幅三维关联法，排除定频信号、突发信号等。实验结果说明该方法能够有效地检测出跳频信号，验证了方法的实效性。
英文摘要：
As electromagnetic environment of short-wave is quite complex, the difficulty in detecting frequency hopping （FH） signal is analyzed. According to the characteristics of short-wave communication signal,a detecting method called time-frequency-amplitude correlation method （i.e. TFAM） is presented. In this paper,combined with the theory of quotient space granularity analysis,a modified covering clustering algorithm is proposed and it is used to preprocess mass complex data which have been received. As a result,most of the noises are omitted. Then TFAM is applied to eliminate fixed-frequency signals,burst signals, etc. The experimental results show that our method can detect FH signals effectively and its validity is verified.
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