基于信噪比估计的非恒模APCMA信号识别方法
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1.郑州大学网络空间安全学院;2.郑州大学;3.郑州大学电气与信息工程学院 郑州;4.郑州大学计算机与人工智能学院 郑州;5.郑州大学网络空间安全学院 6.郑州

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TN911.7

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Non constant modulus APCMA signal recognition method based on signal-to-noise ratio estimation
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    摘要:

    针对卫星通信信号中非对称成对载波多址(APCMA)的非恒模信号识别问题,本文提出了一种基于信噪比估计的识别算法。首先,该算法对接收信号进行功率谱估计计算出观测信噪比;其次,通过高阶矩计算出有效信噪比,并结合星座矩算法,解决了高阶矩计算非恒模信号有效信噪比误差大的问题;最后,基于混合信号的观测信噪比高于有效信噪比的特点设计了特征参数M,实现了非恒模APCMA信号的识别。实验结果表明,所提算法对于非恒模APCMA信号,在弱信号信噪比大于0dB时的识别率接近100%。

    Abstract:

    This paper proposes a recognition algorithm based on signal-to-noise ratio estimation for the identification of non constant modulus signals in asymmetric paired carrier multiple access (APCMA) in satellite communication signals. Firstly, the algorithm performs power spectrum estimation on the received signal to calculate the observed signal-to-noise ratio; Secondly, by calculating the effective signal-to-noise ratio through high-order moment calculation and combining it with constellation moment algorithm, the problem of large errors in the effective signal-to-noise ratio of non constant modulus signals in high-order moment calculation has been solved; Finally, based on the characteristic that the observed signal-to-noise ratio of the mixed signal is higher than the effective signal-to-noise ratio, a feature parameter M was designed to achieve the recognition of non constant modulus APCMA signals. The experimental results show that the proposed algorithm achieves a recognition rate of nearly 100% for non constant modulus APCMA signals when the signal-to-noise ratio of weak signals is greater than 0dB.

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  • 收稿日期:2024-10-19
  • 最后修改日期:2024-12-12
  • 录用日期:2024-12-17
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