| 摘要: |
| It is hard to extract frequency hopping(FH) signal under strong interf
erence. An extraction method of FH signal is proposed based on image processing
technology and noise peak finding. Based on Short Time Fourier Transform(STFT)
timefrequency spe
ctrum, a noise floor estimation method based on morphological image processing
is modi
fied. 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. Simu
lat
ions show that this method can preferably pick up characteristics of FH signal w
ith strong interferences existing. |
| 关键词: frequency hopping signal detection noise floor estimation parameters estimation morphological image processing；short time Fourier transform(STFT) |
| DOI： |
|
| 基金项目: |
|
| Extraction of Frequency Hopping Signal under Strong Interference |
| ZHANG Shan,WU Ying,LIU Yuan-ning,CHEN Qiu-hua |
| (Institute of Engineering, PLA Information Engineering University, Zhengzhou 4
50002,China;University of Science and Technology of China,Hefei 230026,China) |
| Abstract: |
| 跳频检测；噪声基底估计；参数统计；形态学图像处理；短时傅里叶变换 |
| Key words: |
《电讯技术》编辑部 