OFDM系统中最大似然调制分类算法研究

Research on Maximum-Likelihood Modulation Classification Algorithms for OFDM Systems

在衰落信道下分别基于OFDM系统子载波和子载波组研究了最大似然调制分类算法,通过仿真对两种算法性能进行了比较,结果表明,两种算法在较大的信噪比范围内均具有较好的分类识别性能,在观测样本为400,正确识别率达到0.9时,基于子载波组的分类算法相对于基于子载波的分类算法具有2.39dB的信噪比增益。

The sub-carrier and sub-band based maximum-likelihood modulation classification algorithms for OFDM systems are presented over fading channels respectively.The performance of the two classification algorithms are compared by extensive simulations.The simulation results show that the two classification algorithms have good classification performance in large SNR ranges.As the samples is 400,and the correct classification ratio is 0.9,the sub-band based algorithm,which compared with the sub-carrier based algorithm,can obtain a SNR gain of around 2.39 dB.