计算机应用 ›› 2011, Vol. 31 ›› Issue (11): 2926-2928.DOI: 10.3724/SP.J.1087.2011.02926

• 网络与通信 • 上一篇    下一篇

基于小波和高阶累积量的数字调制识别算法

李世平,陈方超   

  1. 东北大学 信息科学与工程学院,沈阳 110819
  • 收稿日期:2011-05-30 修回日期:2011-07-04 发布日期:2011-11-16 出版日期:2011-11-01
  • 通讯作者: 陈方超
  • 作者简介:李世平(1960-),男 ,辽宁沈阳人,副教授,主要研究方向:信号处理;
    陈方超(1987-),男 ,辽宁沈阳人,硕士研究生,主要研究方向:信号处理、通信信号调制识别。

Recognition algorithm of digital modulation based on wavelet and high-order cumulants

LI Shi-ping,CHEN Fang-chao   

  1. College of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110819, China
  • Received:2011-05-30 Revised:2011-07-04 Online:2011-11-16 Published:2011-11-01
  • Contact: CHEN Fang-chao

摘要: 利用基于高阶累积量的数字调制识别算法对数字调制信号进行分类识别时,六阶及六阶以上累积量的计算过于复杂,且多进制频移键控(MFSK)与8PSK信号各阶累积量的值均相等,直接计算无法识别。针对此问题,提出了一种基于小波和高阶累积量相结合的分类算法,先对MFSK与8PSK信号进行小波变换,再利用四阶累积量进行识别。实验证明,利用该算法所提取的特征参数能有效抑制高斯白噪声,除了识别2ASK/BPSK,4ASK,2FSK,4FSK,QPSK,8PSK信号外,还可识别16QAM,并且计算量小,易于实现。当信噪比大于等于3dB时,总体识别率达到96%。与已有算法相比,仿真结果证明了该算法的优越性。

关键词: 小波, 高阶累积量, 调制识别, 特征参数, 识别率

Abstract: When using recognition algorithm of high-order cumulants to classify and recognize digital modulation signals, the calculation of six-order and six-order above cumulants are too complex and the signals of 8PSK and Multiple Frequency Shift Keying (MFSK) have the same cumulants, so it is impossible to recognize directly. To solve this problem, a new classification algorithm was proposed in this paper, which made wavelet transform on MFSK and 8PSK at first, and then used four-order cumulants recognition. The simulations show that the characteristic parameters could restrain Gaussian white noise efficiently and simply, and classify and recognize 2ASK/BPSK, 4ASK, 2FSK, 4FSK, QPSK, 8PSK and 16QAM successfully. When SNR (Signal-to-Noise Ratio) is 3dB, the recognition rate reaches as high as 96%. Compared with the existing algorithms, the superiority of the algorithm is proved.

Key words: wavelet, high order cumulants, modulation recognition, characteristic parameter, recognition rate