Due to the use of the current power line network, Power Line Communication (PLC) technology has recently received a lot of attention. Because power lines are designed to transfer electric power at low frequencies, they are not appropriate for high-speed data transmission. The main problem with PLC is Impulsive Noise (IN). In PLC, the Multiple Input Multiple Output (MIMO) approach is used to reduce the impact of IN. To prevent the occurrence of a higher level of channel impulsiveness, MIMO’s success in reducing IN is insufficient. It’s necessary to use further IN reduction techniques. In this study, cyclic redundancy check assisted successive cancellation list (CRCSCL) polar coding and the minimum mean square error (MMSE) detector techniques are combined to reduce the IN effect in MIMO-PLC systems with various antenna configurations. By comparing various degrees of channel impulsiveness, the Bit Error Rate (BER) performance under the Middleton Class A (MCA) and Bernoulli Gaussian (BG) IN models is examined. The obtained findings show that, in comparison to the BG model, the suggested IN mitigation under the MCA noise model requires a low Signal to Noise Power Ratio (SNR) value. Similar to this, the results show that more MIMO-PLC configurations, a higher level of channel impulsiveness in the MCA of the impulsive index (A), a higher Gaussian to IN average power ratio (Γ), and a lower occurrence of IN probability (P) over the BG would all enhance MIMO-PLC system performance.