利用循环谱和参数统计的数字调制信号识别  

Identification of Digital Modulation Signals Based on Cyclic Spectral Density and Statistical Parameters

作　　者：朱雷[1] 程汉文[1,2] 吴乐南[1] 

机构地区：[1]东南大学信息科学与工程学院,南京210096 [2]防空兵指挥学院,郑州450052

出　　处：《应用科学学报》2009年第2期137-143,共7页Journal of Applied Sciences

摘　　要：该文利用决策理论识别常用数字信号调制方式.该识别方法基于接收信号的循环谱和参数统计法,采用谱相关测量的频率平滑法分析数字信号在循环频率轴上的特征谱,运用参数统计法提取统计参数,用于数字调制信号识别.最后利用决策理论,给出信号识别流程图及判决门限.实验表明,在信噪比为5dB的条件下,对预期调制信号2ASK, 4ASK,2FSK,4FSK,4PSK,8PSK的识别率可达90%,说明该方法在低信噪比下识别效果良好.A novel method using decision-making theory is proposed to identify digital modulation signals. The method is based on the cyclic spectrum of received signals and the statistical parameters. Using the frequency domain smoothing periodogram to estimate the cyclic spectrum, the characteristic spectral density of digital modulation signals is analyzed on the cyclic frequency axis. Statistical parameters of digital modulation signals are then extracted. Finally, using the decision-making theory, we present a flow chart and a determination threshold for signal recognition by computer simulation. At 5 dB SNR, identification probability of 90% for 2ASK, 4ASK, 2FSK, 4FSK, 4PSK and 8PSK can be achieved. The results show effectiveness of the method even when signals are buried in strong noise.

关 键 词：调制识别 循环谱 统计参数 

分 类 号：TN911.72[电子电信—通信与信息系统]