Adaptive Feedback Based Normalized Channel Equalizer Using Minimal Symbol-Error-Rate Approach

Inter-symbol Interference (ISI) is well thought-out as a major problem in the wireless communication channel to transfer data. The purpose of the equalizer is to reconstruct the original signal by using filters or other techniques, and remove ISI. There are several methods to solve the problem. One of the methods is adaptive decision feedback equalizer based MSER (ADFEM) is Presented along with the minimum-mean-squared-error (MMSE) criterion and the least-square (LS) criterion, adopt the squared error as the performance measure. The proposed scheme adopts appropriate block floating Point format for the data as well as the filter weights and works out separate update relations for the real and imaginary filter weight. The feed forward and the feedback filter output are used to prevent certain dynamic scaling of the respective input, although overflow in weight update calculations is avoided by imposing certain upper bound on the algorithm step size m which is shown to be less than the convergence bound. The proposed scheme achieves considerable computational gain over its floating point based counterpart.