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Volume 39 Issue 10
Oct.  2017
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QIU Zhaoyang, HUANG Yan, OUYANG Xi. Blind Estimation of Modulation Parameters of MFSK Signal Based on Time-frequency Modifying and Waveform Transforming[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2536-2540. doi: 10.11999/JEIT161399
Citation: QIU Zhaoyang, HUANG Yan, OUYANG Xi. Blind Estimation of Modulation Parameters of MFSK Signal Based on Time-frequency Modifying and Waveform Transforming[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2536-2540. doi: 10.11999/JEIT161399

Blind Estimation of Modulation Parameters of MFSK Signal Based on Time-frequency Modifying and Waveform Transforming

doi: 10.11999/JEIT161399
Funds:

The National Natural Science Foundation of China (61072046)

  • Received Date: 2016-12-29
  • Rev Recd Date: 2017-05-11
  • Publish Date: 2017-10-19
  • MFSK signal is widely used in military and civil communication systems. For the issues of its modulation parameters estimation, wavelet transform theory is mostly adopted in current algorithms. However, the anti-noise performance is poor and parameters are difficult to choose. On the research of indeterminacy theory of spectrogram, a strategy for spectrograms modifying is proposed and the waveform transforming theory is drawn into to upgrade the duty cycle. As the result, the anti-noise performance is improved and the self adaption blind parameter estimation is achieved. The simulation results indicate a better performance of proposed algorithm than current algorithms in anti-noise and frequency offset performance and robustness of parameters which makes it a better choice for engineering practice.
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