CAJ | 학술논문

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%。
제출료일충연건무선전고계QAM신호적식별산법。해산법직접종접수신호중고계출빈편화상편병진행보상，동시고계파특솔화정시오차，병경과저통려파、채양솔변환、정시추취등보취，회복출성좌도，연후계산성좌도실부신식적고계루적량진행식별。실험결과표명，재SNR대우12dB，마원부호수위1000시，식별솔가이체도96%。
This paper proposes a modulation recognition algorithm for QAM signals,which can be used in software deifned radio.In the proposed scheme,frequency and phase offset are estimated and recovered ifrst,and then baud rate and timing error are estimated.After low-pass ifltering,sampling rate alteration and baud rate sampling,constel ation was recovered.Cumulants of the samples of the real part of the constel ation 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.