基于MFCC的OFDM信号子载波调制方式识别方法

张海川; 雷迎科

doi:10.15892/j.cnki.djzdxb.2016.06.040

2016 , Vol. 36 >Issue 6: 166 - 170

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2016.06.040

摘要

针对多径信道下传统的OFDM信号子载波调制方式识别方法存在识别率不高,判决门限不易确定,子载波调制方式识别不全面等问题,提出一种基于MFCC的OFDM信号子载波调制方式识别方法。利用语音模型下的识别算法提取OFDM信号的MFCC特征参数,计算出各阶MFCC特征参数的平均标准偏差和平均变化率,并将两类参数的组合作为OFDM信号子载波调制方式分类特征量对子载波调制方式进行识别。仿真实验结果表明,该方法能够有效实现多径信道下OFDM信号子载波多种调制方式的识别,且识别性能优于传统方法。

关键词： OFDM; 分类特征量; MFCC; 递归降阶

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张海川 , 雷迎科 . 基于MFCC的OFDM信号子载波调制方式识别方法[J]. 弹箭与制导学报, 2016 , 36(6) : 166 -170 . DOI: 10.15892/j.cnki.djzdxb.2016.06.040

Abstract

In order to overcome the poor performance, vague decision threshold and the incomplete recognition mode problem of the sub-carrier modulation recognition for OFDM signal in the multipath channel, a novel modulation recognition method for OFDM signal based on Melfrequency cepstrum coefficient (MFCC) was proposed. The MFCC features were firstly extracted by the algorithm about speech recognition. Then we calculated the average standard deviation and average change rate of MFCC and used the combination of these two parameters as the classification features to identify the modulation type of carrier. Experimental results showed that the proposed method could effectively recognize the modulation type under multipath channel and it had a high correct rate to classify the modulation of OFDM signal.

Key words： OFDM; classification feature; MFCC; recursive order-reduction

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