Recursive Blind Adaptive Equalization for 16-QAM applications
Zainab Alfrgani, Ahmed Elbarsha · Mağallaẗ al-ʿulūm wa-al-dirāsāt al-insāniyyaẗ. · 2020
Abstract: An innovative blind adaptive identification algorithm based on least-squares type arguments is offered in this project. Devoid of any matrix inversion operation, parameter estimates are recursively updated with each output measurement. It is confirmed that the parameter estimates converge almost surely (a.s.) toward a scalar multiple of the true parameters. The viable utilization of this algorithm to the channel equalization problem is explained in this paper [3].