一种短波非正交跳频网台信号分选方法研究

Study on the Method of Sorting the Shortwave Non-orthodox Frequency-hopped Network-station Signal

分析用于跳频网台信号分选的特征参数,提出一种基于特征指纹提取的时间相关算法进行短波非正交跳频网台信号分选,实验结果表明,在适当的信噪比条件下,该算法能够有效地完成二部非正交跳频网台信号的分选。

This paper analyses characteristic parameters for frequency - hopped network - station signal sorting, and proposes a time - correlated algorithm based on extracting feature fingerprints to sort shortwave non - orthodox frequency - hopped network- station signal. After experiment, the result validates that the algorithm can effectively sort two non - orthodox frequency - hopped network - station signal on the condition of proper SNR.