摘要
提出了一种软件无线电高阶QAM信号的识别算法。该算法直接从接收信号中估计出频偏和相偏并进行补偿,同时估计波特率和定时误差,并经过低通滤波、采样率变换、定时抽取等步骤,恢复出星座图,然后计算星座图实部信息的高阶累积量进行识别。实验结果表明,在SNR大于12dB,码元符号数为1000时,识别率可以达到96%。
This paper proposes a modulation recognition algorithm for QAM signals, which can be used in software defined radio.In the proposed scheme, frequency and phase offset are estimated and recovered first, and then baud rate and riming error are estimated.After low-pass filtering, sampling rate alteration and baud rate sampling, consteliarion was recovered.Cumulants of the samples of the real part of the constellation are calculated and used to classify the modulation schemes.Experimental work shows that the recognition can get to 96% when SNR is larger than 12 dB and the number of symbols is 1000.
出处
《电子世界》
2014年第5期117-118,共2页
Electronics World
关键词
MQAM
调制识别
波特率
频偏
相偏
高阶累计量
MQAM
modularion recognition
baud rate
frequency offset
phase offset
cumulants
