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提出了一种适用于正交幅度调制(QAM)信号的混合盲均衡算法,该算法在初始模式中分别对QAM信号的同相分量和正交分量进行均衡,利用方形环判决域对均衡器输出信号进行判决,当误码率降到足够低的水平时自动切换到判决导引最小均方误差算法。最后利用水声信道仿真模型,对该算法的性能进行了验证。结果表明:该算法性能稳健,收敛后均方误差小,有效降低了高速水声通信的误码率,提高了水声信道均衡的稳定性,且有良好的冷启动和重新启动能力。
A hybrid blind equalization algorithm for Quadrature Amplitude Modulation (QAM) signal is proposed. The proposed algorithm equalizes the in-phase and quadrature components of the QAM signal in the initial mode respectively. The square loop decision- The decision is made to automatically switch to the decision-directed minimum mean square error algorithm when the bit error rate falls to a sufficiently low level. Finally, the underwater acoustic channel simulation model is used to verify the performance of the algorithm. The results show that the proposed algorithm has robust performance and small mean square error after convergence, effectively reducing the bit error rate of high speed underwater acoustic communication, improving the stability of underwater acoustic channel equilibrium, and having good ability of cold start and restart.