scholarly journals METHOD OF AUTOMATIC DETERMINATION OF THE CARRIER FREQUENCY OF SHORT-TIME FREQUENCY-SHIFT KEYING SIGNALS

Author(s):  
O. A. Nahorniuk

Method for determination of the carrier frequency of short-time frequency-shift keying signals based on searching for dominant harmonics whose frequency difference is close to the subcarrier spacing frequency is proposed in the article. In telecommunication systems with burst transmissions, the symbol distribution law of the modulating sequence is not always uniform, which under a limited signal duration leads to an increase in the errors in determining the frequency-shift keying parameters. The increase in errors is due to distortion of the amplitude-frequency spectrum of the signal and a decrease in the probability of the correct identification of the subcarrier oscillations harmonics. To improve the accuracy of determining the carrier frequency proposed method uses a priori information about the value of the spacing frequency of the subcarrier oscillations and the multiplicity of frequency-shift keying. The developed approach consists in obtaining the amplitude-frequency spectrum of the signal, calculating the search threshold of dominant harmonics, determining their frequencies which correspond to subcarrier oscillations, and calculating the carrier frequency as their arithmetic mean value. To calculate the signal spectrum was used the modified Welch periodogram method with has a low dispersion of spectral estimates. The harmonic search threshold is determined automatically based on the statistical characteristics of the amplitude-frequency spectrum. Among harmonics with amplitudes greater than the threshold value, those are determined that the frequency difference between which is closest to the subcarrier spacing frequency. The simulations performed in the MATLAB software environment showed that the error in determining the carrier frequency was halved compared to the classical approach under signal-to-noise ratio from -15 dB, and the developed method was efficient if the symbol appearance probability were from 0,5 to 0,8.

2006 ◽  
Vol 23 (2) ◽  
pp. 277-281
Author(s):  
Yuanyuan Gao ◽  
Xiaoxin Yi ◽  
Zuping Qian ◽  
Xianbing Hu

2004 ◽  
Vol 52 (3) ◽  
pp. 346-349 ◽  
Author(s):  
G. Leus ◽  
W. Zhao ◽  
G.B. Giannakis ◽  
H. Delic

2020 ◽  
pp. 1-15
Author(s):  
Dechun Zhao ◽  
Xiaoxiang Li ◽  
Xiaorong Hou ◽  
Mingyang Feng ◽  
Renping Jiang

BACKGROUND: The frequencies that can evoke strong steady state visual evoked potentials (SSVEP) are limited, which leads to brain-computer interface (BCI) instruction limitation in the current SSVEP-BCI. To solve this problem, the visual stimulus signal modulated by trinary frequency shift keying was introduced. OBJECTIVE: The main purpose of this paper is to find a more reliable recognition algorithm for SSVEP-BCI based on trinary frequency shift keying modulated stimuli. METHODS: First, the signal modulated by trinary frequency shift keying is simulated by MATLAB. At different noise levels, the empirical mode decomposition, singular value decomposition, and synchrosqueezing with the short-time Fourier transform are used to extract the characteristic frequency and reconstruct the signal. Then, the coherent method is used to demodulate the reconstructed signal. Second, in the paradigm of BCI using trinary frequency shift keying modulated stimuli, the three methods mentioned above are used to reconstruct EEG signals, and canonical correlation analysis and coherent demodulation are used to recognize the BCI instructions. RESULTS: For simulated signals, it is found that synchrosqueezing with short-time Fourier transform has a better effect on extracting the characteristic frequencies. For the EEG signal, it is found that the method combining synchrosqueezing with short-time Fourier transform and coherent demodulation has a higher accuracy and information translate rate than other methods. CONCLUSION: The method combining synchrosqueezing with short-time Fourier transform and coherent demodulation proposed in this paper can be applied in the SSVEP system based on trinary frequency shift keying modulated stimuli.


2016 ◽  
Vol 103 ◽  
pp. 54-63 ◽  
Author(s):  
Xiaoyi Hu ◽  
Deqing Wang ◽  
Yurong Lin ◽  
Wei Su ◽  
Yongjun Xie ◽  
...  

2011 ◽  
Vol 18 (3) ◽  
pp. 177-180 ◽  
Author(s):  
Hoang Anh Ngo ◽  
Chao Xu ◽  
Shinya Sugiura ◽  
Lajos Hanzo

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