瑞利衰落信道下MPSK信号调制方式识别

调制识别是非协作通信系统接收机设计中的重要研究课题。在实际环境中,噪声和信道衰落是影响信号调制方式识别的重要因素。针对瑞利衰落信道上MPSK较难识别的情况,提了基于似然比的识别算法,并根据最大似然准则对瑞利信道的参数进行了估计完成对2种调制信号的识别。仿真结果表明:在存在高斯白噪声的瑞利衰落信道的环境下,以BPSK和QPSK为例,正确识别率达到90%。

BPSK and QPSK Modulation Classification in Rayleigh Fading Channel

Modulation Classification(MC) is an important research subject in the process of designing receiver of incooperative communication system.Noises and fading channel are very important factors affecting the success rate of modulation classification in practical situation.A classification algorithm based on likelihood ratio is proposed for MPSK signals transmitted in Rayleigh fading channels.Parameters of Rayleigh fading channels are estimated by maximum likelihood criterion.Simulation results show that the success rate of classification for BPSK and QPSK signals is over 90%.