Abstract
Linear adaptive channel equalization using the least mean square (LMS) algorithm and the recursive least-squares (RLS) algorithm for an innovative multi-user (MU) MIMO-OFDM wireless broadband communications system is proposed. The proposed equalization method adaptively compensate the channel impairments caused by frequency selectivity in the propagation environment. Simulations for the proposed adaptive equalizer, are conducted using a training sequence method to determine optimal performance through a comparative analysis. Results show an improvement of 0.15 in BER (at a SNR of 16 dB) when using Adaptive Equalization and RLS algorithm compared to the case in which no equalization is employed. In general, adaptive equalization using LMS and RLS algorithms showed to be significantly benefitial for MU-MIMO-OFDM systems.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
