Automatic Digital Modulation Recognition Algorithms Based on Approximately Logarithm Likelihood Method
In this paper, we develop a new approximately maximum average likelihood algorithms for modulation classification of MPSK signal, introduce average likelihood method, gain approximately classify statistics via received signal sampled and main parameters approximated. Simulation results indicate that the algorithms can gain high probability of correct classification and low compute quantity, when an appropriate sampling plan is used by SNR condition.
Zhang Wei Yang Hu
Electronics Science and Engineering College National University of Defense Technique Hunan Changsha, China 410073
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
834-838
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)