{"title":"Automatic Modulation Identification of QPSK and GMSK using Wavelet Transform for Adaptive Demodulator in SDR","authors":"P. Prakasam, M. Madheswaran","doi":"10.1109/ICSCN.2007.350651","DOIUrl":null,"url":null,"abstract":"This paper presents an automatic modulation identification (AMI) algorithm using wavelet transform for distinguishing QPSK and GMSK in adaptive demodulator. The developed algorithm has been tested by introducing additive white Gaussian noise (AWGN) in the modulated signal. It has been found that the identification of QPSK and GMSK using histogram peaks simplifies the procedure. The performance of the proposed AMI algorithm has been computed by estimating the bit error rate (BER) and reconstruction efficiency. This shows that the correct modulation identification is possible to a lower bound of 15 dB and 6 dB for GMSK and QPSK respectively","PeriodicalId":257948,"journal":{"name":"2007 International Conference on Signal Processing, Communications and Networking","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Signal Processing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2007.350651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
This paper presents an automatic modulation identification (AMI) algorithm using wavelet transform for distinguishing QPSK and GMSK in adaptive demodulator. The developed algorithm has been tested by introducing additive white Gaussian noise (AWGN) in the modulated signal. It has been found that the identification of QPSK and GMSK using histogram peaks simplifies the procedure. The performance of the proposed AMI algorithm has been computed by estimating the bit error rate (BER) and reconstruction efficiency. This shows that the correct modulation identification is possible to a lower bound of 15 dB and 6 dB for GMSK and QPSK respectively
提出了一种基于小波变换的自适应解调器中QPSK和GMSK的自动调制识别算法。通过在调制信号中引入加性高斯白噪声(AWGN)对该算法进行了验证。研究发现，利用直方图峰值识别QPSK和GMSK简化了程序。通过估计误码率和重建效率，计算了AMI算法的性能。这表明GMSK和QPSK的正确调制识别下限分别为15 dB和6 dB
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