多径信道下调制信号识别新方法

doi:10.3969/j.issn.1001-2400.2011.05.003

Abstract

Abstract:

Two major drawbacks of digital modulation identification are its low probability of correct classification (Pcc) and difficulty in classifying a variety of digital signal types in the multipath fading channel. Thus, a new blind classification method using the wavelet transform and higher-order cyclostationary cumulants (W-HOCC) is presented, in which a new classification feature is extracted using the linearity property of WT and the Superposition property of HOCC. Through theoretical analysis, it is proved that the extracted feature parameter can eliminate the influence of the multipath channel parameter. Monte Carlo simulation results show that in identification of 2ASK, 2PSK and 4QAM signals the proposed method yields the Pcc of 100% in the multipath fading channel when the signal-to-noise ratio (SNR) is 0dB. Compared with the higher-order cumulants-based method, the W-HOCC method can lead to better identification performance. Also, the W-HOCC method can bring about highly accurate recognition even for a low SNR.

Key words: higher-order cyclostationary cumulants, wavelet transform, feature extraction, multi-path channel

CLC Number:

TN911.7

LI Yanling;LI Bingbing;YIN Changyi;LIU Mingqian. Novel method for digital modulation signal identification in the multipath fading channel[J].J4, 2011, 38(5): 13-19.

References

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Novel method for digital modulation signal identification in the multipath fading channel

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