Comparison of the Mixed Norm(LMMN) and LMMN Algorithm with Sign-Regressor in Channel Equalization

This paper gives an insight of equalization technique for a channel adapting itself to the changing environment and the framework is used to compare the performance of the mixed norm (LMMN) algorithm and the sign regressor mixed norm (SRLMMN) algorithm both in mean sense. According to the simulation results, the bit error rate (BER) performance of the LMMN and the SRLMMN algorithms is comparable. Additionally, the outcomes demonstrate that the Sign Regressor algorithm performs slightly worse than its original counterpart in terms of convergence behavior.