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基于自适应滤波的传统稀疏信道估计方法大多基于高斯噪声模型的假设,当环境噪声包含冲击噪声时,信道估计性能将严重恶化.为了解决冲击噪声环境下的稀疏信道估计问题,提出了一种基于梯度向量混合范数的稳健变步长符号算法.仿真结果表明,提出的算法在高斯噪声和冲击噪声环境下达到了预期的效果.
Traditional sparse channel estimation based on adaptive filtering mostly based on the assumption of Gaussian noise model, when the ambient noise contains impulsive noise, the channel estimation performance will be seriously deteriorated.In order to solve the sparse channel estimation problem in impulsive noise environment, Robust Variable Step Symbol Algorithm for Mixing Variances of Gradient Vectors Simulation results show that the proposed algorithm achieves the expected results under Gaussian and impulsive noise conditions.