Bit Error Rate Prediction Analysis on modified dyadic wavelet transform based Channel Estimation in comparison with Traditional wavelets for MIMO OFDM system
M. Sreelekha, Adnan Raja, T. J. Nagalakshmi · 2023
For the Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system, the goal of the work is to do Bit Error Rate (BER) Prediction Analysis on Novel Modified Dyadic Wavelets Transform Based Channel Estimation in comparison with Traditional wavelets. In order to undertake a comparison analysis, the classifying is done using both a sample size of n = 10 in traditional wavelets and n = 10 in dyadic wavelets. Software written in Python is used for simulation. In comparison to the Traditional Wavelet, the Bit Error Rate Prediction analysis reveals that the Dyadic Wavelets have a high accuracy of (92.36). (91.15). With a value of 0.32 (p 0.005), there is a statistically significant difference between the study groups. Based on the outcomes of the simulation and statistical analysis, Dyadic Wavelets provide significantly higher prediction accuracy than Traditional Wavelets.