A Sparse-Aware Variable Step-Size NLMS Equalizer with Dynamic Reweighted Regularization for Time-Varying Multipath Channels
Sparse adaptive equalization is widely used for time-varying multipath channels due to its ability to exploit channel sparsity and reduce computational complexity. However, conventional normalized least mean square (NLMS)-based algorithms usually rely on fixed step-size strategies or manually selected regularization pa...