Robust sparse channel estimation and equalization in impulsive noise using linear programming

► Sparse channel estimation and equalization in impulsive noise are addressed. ► The new approaches are based on the minimization of the absolute error function. ► The resulting problem can be efficiently solved by linear programming. ► It is more robust against outlier and accurate than conventional schemes.