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基于短波Watterson信道模型,理论分析了基于训练序列的信噪比估计算法,并将其应用于短波信道均衡后信噪比估计中,解决信噪比估计过程中要求信道系数为实值、一帧数据范围内信道系数恒定、调制方式已知等问题;并根据判决反馈均衡器在低信噪比时具有误差传递的特性,提出利用实时信噪比估计指导信道均衡在直接式与判决反馈式均衡算法间动态切换,以获取整体性能的提高;仿真验证了均衡后短波信道信噪比估计算法和信道均衡动态切换方式的可行性和有效性。
Based on the shortwave Watterson channel model, the SNR estimation algorithm based on training sequence is theoretically analyzed and applied to SNR estimation after shortwave channel equalization. In order to solve the problem of SNR estimation, The channel coefficient is constant in the data range and the modulation method is known. According to the characteristics that the decision feedback equalizer has error transmission at low signal-to-noise ratio, the proposed channel equalization using direct real-time signal-to-noise ratio The algorithm switches dynamically to get the overall performance improvement. The simulation verifies the feasibility and effectiveness of the SNR estimation algorithm of shortwave channel and the dynamic switching of channel equalization.