  To improve the robustness of subband adaptive filter (SAF) against impulsive
interferences, we propose two modified SAF algorithms with an individual scale
function for each subband, which are derived by maximizing correntropy-based
cost function and minimizing logarithm-based cost function, respectively,
called MCC-SAF and LC-SAF. Whenever the impulsive interference happens, the
subband scale functions can sharply drop the step size, which eliminate the
influence of outliers on the tap-weight vector update. Therefore, the proposed
algorithms are robust against impulsive interferences, and exhibit the faster
convergence rate and better tracking capability than the sign SAF (SSAF)
algorithm. Besides, in impulse-free interference environments, the proposed
algorithms achieve similar convergence performance as the normalized SAF (NSAF)
algorithm. Simulation results have demonstrated the performance of our proposed
algorithms.

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