Title :
Blind Detection of Frequency Hopping Signal Using Time-Frequency Analysis
Author :
Luan Haiyan ; Jiang Hua
Author_Institution :
China Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
Abstract :
The paper proposes a detection algorithm for the frequency hopping signals in intricate electromagnetic environment using time-frequency analysis. To overcome the difficulty brought by the unsteady distribution and energy fading, an adaptive time-frequency local threshold is applied to preprocess the spectrogram; And by the methods such as spectrogram modification and time-statistic, most of the interferences are successfully removed. And finally the detection of FH signals is realized.
Keywords :
adaptive signal detection; blind source separation; frequency hop communication; statistical analysis; time-frequency analysis; adaptive time-frequency local threshold; blind detection; frequency hopping signal detection; intricate electromagnetic environment; spectrogram modification; spectrogram preprocessing; time-frequency analysis; time-statistic; Correlation; Detection algorithms; Electromagnetics; Noise; Spectrogram; Time frequency analysis;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600956