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针对频率选择性多径衰落信道下MPSK和MQAM信号的调制分类问题,提出了一种基于盲均衡算法的自动识别算法。将接收到的码元星座图通过一组并行的自适应盲均衡器,当盲均衡器与星座图匹配时其代价函数收敛到最小。所以直接利用盲均衡的代价函数作为调制识别特征,当代价函数收敛后,将具有最小代价函数值的均衡器所对应的信号判为识别结果。仿真结果表明,该算法可以有效识别频率选择性多径衰落信道下的BPSK,QPSK,8PSK,16QAM,32QAM,64QAM信号。
Aiming at the modulation classification of MPSK and MQAM signals under frequency-selective multipath fading channels, an automatic identification algorithm based on blind equalization algorithm is proposed. The received symbol constellation is passed through a parallel set of adaptive blind equalizers whose cost function converges to a minimum when the blind equalizer matches the constellation. Therefore, the blind equalization cost function is directly used as the modulation recognition feature. After the convergence of the cost function, the signal corresponding to the equalizer with the minimum cost function value is judged as the recognition result. Simulation results show that this algorithm can effectively identify BPSK, QPSK, 8PSK, 16QAM, 32QAM and 64QAM signals under frequency-selective multipath fading channels.