A NEW LIKELIHOOD-BASED MODULATION CLASSIFICATION ALGORITHM USING MCMC1

• 作 者: JinXiaoyan ZhouXiyuan
• 机 构: NationalKeyLaboratoryofIntegratedServicesNetworks,TheNo．54ResearchInstituteofCETC
• 出 处: 电子科学学刊：英文版
• 发表日期: 2012年1期
• 关键词: 识别算法 调制分类 加性高斯白噪声 马尔可夫链 AWGN 调幅信号 MCMC 蒙特卡洛 Modulation classification Markov Cha

In this paper,a new likelihood-based method for classifying phase-amplitude-modulated signals in Additive White Gaussian Noise (AWGN) is proposed.The method introduces a new Markov Chain Monte Carlo (MCMC) algorithm,called the Adaptive Metropolis (AM) alg