一种新的MPSK信号调制分类算法

›› 2012, Vol. 25 ›› Issue (4): 1-.

• 论文 • 下一篇

一种新的MPSK信号调制分类算法

付琴琴

(西安电子科技大学电子工程学院,陕西西安 710071)

出版日期:2012-04-15 发布日期:2012-04-17
作者简介:付琴琴(1986—),女,硕士研究生。研究方向:信息对抗技术及相关的信号处理与仿真技术。
基金资助:
中央高校基本科研业务费专项资金资助(JY10000902030)

A New Algorithm for Modulation Classification of MPSK Signals

FU Qin-Qin

(School of Electronic Engineering,Xidian University,Xi'an 710071,China)

Online:2012-04-15 Published:2012-04-17

摘要/Abstract

摘要：

针对多进制相移键控(MPSK)信号的调制识别问题,提出了一种新的基于2、4阶循环累积量的调制识别算法。先利用信号的2阶和4阶循环累积量的特征,将MPSK信号分为BPSK和QPSK与8PSK以上两大调制子类,再由信号循环频率等于信号载频处的2阶和4阶循环累积量,构成BPSK和QPSK的分类特征量,实现对BPSK和QPSK信号的调制识别。该算法在MPSK信号码元不等概率出现时依然有效。由于高斯噪声的循环累计量均为0,因此此算法具有一定的抗高斯噪声能力。实验仿真结果验证了该算法的有效性。

关键词: 循环累积量, 调制分类, 多进制相移键控

Abstract:

A new algorithm based on two-order and four-order cyclic cumulants is proposed for modulation classification of Mary Phase Shift Keying(MPSK) signals.MPSK signals are classified to BPSK and QPSK or more than 4PSK modulation subclasses by the feature of their two-order and four-order cyclic cumulants,then a feature parameter is picked up from signals' two-order and four order cyclic cumulants at the cyclic frequency which equals the frequency of signals,and finally BPSK and QPSK are classified by the feature parameter.Even if the probabilities of codes are unequal,the algorithm is still effective.Because the cyclic cumulants of Gaussian noise which are higher than two-order are zero,to some extent,the algorithm can depress Gaussian noise.The result of simulation shows that the algorithm is efficient.

Key words: cyclic cumulants;modulation classification;mary phase shift keying

中图分类号:

TN911.7

付琴琴. 一种新的MPSK信号调制分类算法[J]. , 2012, 25(4): 1-.

FU Qin-Qin. A New Algorithm for Modulation Classification of MPSK Signals[J]. , 2012, 25(4): 1-.

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一种新的MPSK信号调制分类算法

A New Algorithm for Modulation Classification of MPSK Signals

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