Estimation of channel using novel linear minimum mean square error method in comparison with linear filtering method for MIMO-OFDM communication systems.

The objective of the work is to evaluate the Novel Linear Minimum Mean Square Error method (LMMSE) for massive MIMO communication and compare it to the Linear Filtering method (LFM) for estimating the channel. This will be done in order to determine which method provides more accurate results. The Linear Minimum Mean Square Error Technique is utilised in order to generate an estimate of the channel by measuring the bit error rate (BER). One group of 10 samples was analysed with Novel LMMSE, and the other group was analysed with LFM. The error rate was compared between the two methods. There are a total of twenty samples available. The samples have an accuracy rate of 80% in making predictions. In order to evaluate how well a system performs in terms of the bit error rate, the LMMSE and LFM are used to determine the results (BER). At a signal-to-noise ratio of 11 dB, the bit error rate (BER) for linear minimum mean square error is approximately 10-6.0, and the BER for linear filtering is approximately 10-4.5. Both of these values are given in decibels. The Group statistics for the Linear Minimum Mean Square Error method and the Linear Filtering method were compared, and it was discovered that there is a statistically significant difference of 0.043 (p 0.005) between the two methods. As can be seen from the results of the simulations and the statistical analysis, the Linear Minimum Mean Square Error Method performs significantly better than the Linear Filtering Method does overall. [ABSTRACT FROM AUTHOR]