Novel method for blind constellation detection using template based classifier for quadrature digital modulation schemes

摘要：

Template based classifiers are very popular classifiers in biomedical and computer vision area. In computer vision they are typically used to understand or classify the scenes captured by camera . In biomedical field they are typically used to provide non-intrusive disease identification. For example to classify a tissue samples as cancerous or not. In this paper we apply the learnings of this area to device an algorithm for automatic modulation detection problem. Automatic modulation detection problem in communication receivers involves auto detecting the modulation scheme from the received samples at the communication receiver without the prior knowledge of the encoded modulation scheme. The method can efficiently recognize almost all quadrature digital modulation schemes and the accuracy rate is over 95％ at the SNRs of 4.5 dB with as low as 512 bits. The performance of this algorithm is evaluated using simulations on LabVIEW.

关键词： template matching algorithms classifiers modulation QAM

作者: Vijaya Yajnanarayana I Zakir Ahmed

作者单位: National Instruments Pvt Ltd ＃12,Tower B,Subramanya Arcade,Bangalore India-560029

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1101-1104

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）