ABSTRACT
Frequency Hopping communication is widely used in communication countermeasures. In order to realize effective tracking interfere to frequency hopping signal, it is necessary to estimate parameters of frequency hopping signal quickly and accurately. In this paper, an estimation method of hopping rate of frequency hopping Signal based on wavelet transform is proposed. Under the background of strong computing power of the current processor, the smooth pseudo Wigner-Ville distribution with high precision and good attenuation of cross terms is used to obtain the time-frequency distribution of the signal. The peak value of time-frequency distribution in the time axis is extracted as the signal for further processing. Then, the wavelet transform of appropriate scale is selected to carry out on the signal. Finally, Fourier transform is carried out to extract the peak value and estimate hopping rate of the signal. Experimental results show that this method has strong anti-noise performance and high stability.
- Barbarossa S. “Parameter estimation of spread spectrum frequency hopping signals using time-frequency distributions.” First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications. Paris, 1997, pp.213 -216.Google ScholarCross Ref
- J. Zhao, C. Y. Zhang, and L. F. Lai. “A Blind Estimation Method for Frequency Hopping Signal Parameters Based on Time-frequency Analysis.” Journal of Circuits and Systems, 2003, vol.3, pp.46-50.Google Scholar
- Khalil N, Hippenstiel R.“Wavelet Transforms of Correlation Function of Frequency Hopped Signals.” 30 Asilomar Conf. On Signals, Systems and Computers. Pacific Grove, 1996:pp. 964-967.Google Scholar
- Fargues Monique P, Overdyk Howard F. “Wavelet-based Detection of Frequency Hopping Signals.” Conference Record of the 31 Asilomar Conference on Signals, Systems & Computers. Pacific Grove, 1997, pp.515 -518Google ScholarCross Ref
- Li Hongtao, Hao Shiqi, Wang Lei. “Multi-step adaptive prediction of hop frequency based on chaos theory.” Communications Countermeasure, 2006(1), pp.16-19.Google Scholar
- GUO Hanwei, LIANG Diannong, DONG Zhen. “Synthetical Detection Signal by Different Simultaneous Frequency Analysis Method”. Signal processing, 2003, 19(6), pp.136-139.Google Scholar
- Min Han, Zhijin Su, Honglin Wan, Jianhua Xu. “Wavelet-based EVM Testing for Non-cooperative Communication Signals.” International Conference on Computer, Networks and Communication Engineering,May.2013, Atlantic press,pp:234-237.Google Scholar
- Su Zhijin, Niu Hai. “Morse Telegraph Detection and Demodulation Algorithm Research Based on Wavelet Transform and Clustering.” AUTEEE 2019(3), pp. 463-467.Google Scholar
- Zheng Wenxiu, Zhao Guoqing,Luo yongjiang, “Estimation of hopping speed of frequency hopping signal”. Systems engineering and electronics, 2006, 28(10), pp.1500-1501.Google Scholar
- Chen Qiuhua, Wang Bin. “Hop rate estimation of frequency hopped Signals under low SNR condition.” Journal of information engineering university, 2008, 9(4), pp.397-400.Google Scholar
- Deng Z M, Liu Y. “Phase-domain blind estimation of symbol duration based on Haar wavelet transform .” Journal of Systerms Engineering and Electronics, 2010,21(3), pp. 375-381.Google ScholarCross Ref
Recommendations
Instantaneous frequency estimation based on synchrosqueezing wavelet transform
The instantaneous frequency-embedded continuous wavelet transform (IFE-CWT) is introduced and its properties are studied.Based on IFE-CWT, the instantaneous frequency-embedded synchrosqueezing transform (IFE-SST) is introduced.IFE-SST can preserve the ...
A Compound Algorithm for Parameter Estimation of Frequency Hopping Signal Based on STFT and Morlet Wavelet Transform
Intelligent Computing Theories and ApplicationAbstractWhen the frequency hopping signals are analyzed in time and frequency domain, the time of arithmetic operation by Short-time Fourier Transform (STFT) is short, but the estimation accuracy of hopping time is not high; Morlet wavelet transform ...
Hop Period Estimation for Frequency Hopping Signals Based on Hilbert-Huang Transform
CISP '08: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05A method for estimating the hop period of frequency hopping (FH) signals based on Hilbert-Huang transform (HHT) is proposed. This method iteratively decomposes the FH signal into intrinsic mode functions (IMFs) and applies Hilbert transform to each IMF ...
Comments