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强干扰下跳频信号的提取
引用本文:张珊,吴瑛,刘元宁,陈秋华. 强干扰下跳频信号的提取[J]. 国际商务研究, 2010, 50(4)
作者姓名:张珊  吴瑛  刘元宁  陈秋华
作者单位:解放军信息工程大学 信息工程学院,郑州 450002;解放军信息工程大学 信息工程学院,郑州 450002;中国科技大学,合肥 230026;解放军信息工程大学 信息工程学院,郑州 450002
基金项目:强干扰存在的情况下,跳频信号检测和特征提取十分困难,为此,结合图像处理和噪声峰值提取的思想,提出了完整的提取跳频信号特征的方法:以短时傅里叶变换时频谱为基础,改进了一种利用形态学图像处理估计噪声基底的方法来消除噪声;然后,对每个时刻的频谱估计出信号个数和对应频率,根据统计的所有时刻的各类信息,将干扰信号排除,得到跳频信号。仿真实验表明,该方法能够在强干扰存在时,检测出幅度较弱的跳频信号,具有较好的抗强干扰性能。
摘    要:It is hard to extract frequency hopping(FH) signal under strong interference. An extraction method of FH signal is proposed based on image processing technology and noise peak finding. Based on Short Time Fourier Transform(STFT) time frequency spectrum, a noise floor estimation method based on morphological image processing is modified. After noise removing, the number of signals and corresponding frequencies on each time instant are estimated. Finally, characteristics of FH signal are picked up to eliminate the strong interference according to its duration. Simulations show that this method can preferably pick up characteristics of FH signal with strong interferences existing.

关 键 词:frequency hopping signal detection   noise floor estimation  parameters estimation  morphological image processing  short time Fourier transform(STFT)

Extraction of Frequency Hopping Signal under Strong Interference
ZHANG Shan,WU Ying,LIU Yuan-ning and CHEN Qiu-hua. Extraction of Frequency Hopping Signal under Strong Interference[J]. International Business Research, 2010, 50(4)
Authors:ZHANG Shan  WU Ying  LIU Yuan-ning  CHEN Qiu-hua
Affiliation:Institute of Engineering, PLA Information Engineering University, Zhengzhou 450002,China;Institute of Engineering, PLA Information Engineering University, Zhengzhou 450002,China;University of Science and Technology of China,Hefei 230026,China;Institute of Engineering, PLA Information Engineering University, Zhengzhou 450002,China
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