摘要
针对MPSK信号的调制识别问题,本文提出了一种新的近似最大似然比调制分类算法,采用平均似然比检测方法,通过对接收信号的离散化和对主要参数的简化近似,得到了离散情况下的近似分类统计量。仿真结果表明,依据信噪比条件,选择合适的离散化方案,可以得到高识别率与低运算量。
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 a appropriate sampling plan is used by SNR condition.
出处
《信号处理》
CSCD
北大核心
2007年第1期58-63,共6页
Journal of Signal Processing
关键词
调制识别
最大似然比
平均似然比
MPSK
Modulation Classification
Maximum Likelihood
average likelihood
MPSK
