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Volume 33 Issue 2
Mar.  2011
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Tan Xiao-Heng, Yan Hai-Yan, Su Meng. An Optimal Algorithm of Digital Modulation Recognition Based on Adaptive Wavelet De-noising[J]. Journal of Electronics & Information Technology, 2011, 33(2): 466-469. doi: 10.3724/SP.J.1146.2010.00349
Citation: Tan Xiao-Heng, Yan Hai-Yan, Su Meng. An Optimal Algorithm of Digital Modulation Recognition Based on Adaptive Wavelet De-noising[J]. Journal of Electronics & Information Technology, 2011, 33(2): 466-469. doi: 10.3724/SP.J.1146.2010.00349

An Optimal Algorithm of Digital Modulation Recognition Based on Adaptive Wavelet De-noising

doi: 10.3724/SP.J.1146.2010.00349 cstr: 32379.14.SP.J.1146.2010.00349
  • Received Date: 2010-04-06
  • Rev Recd Date: 2010-09-21
  • Publish Date: 2011-02-19
  • An optimal algorithm based on adaptive wavelet de-noising is proposed to improve effectively the performance of digital modulation recognition under low Signal to Noise Ratio (SNR). An adaptive wavelet threshold de-noising filter is used to eliminate the noise in instantaneous information and improve the SNR. And two parameters Ra, Ra are improved based on two existing parameters ap, df to reduce the sensitivity to noise threshold. Simulation results show that recognition probability of 7 types of digital modulation signals is all above 96%, even SNR is down to 1 dB. Compared with existing algorithm, the proposed algorithm is easy to implement, which has lower computational costs, higher recognition probability.
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