Comparison of computational complexity of adaptive equalization andOFDM for indoor wireless networks

摘要

The computational requirements are investigated of conventionaldecision-feedback adaptive equalization using the least-mean-square(LMS) algorithm and orthogonal frequency division multiplexing (OFDM).This comparison was initiated to determine the least computationallyintensive way of countering multipath effects in indoor wirelessnetworks. Data rates examined ranged from 10 Mbits/s to 100 Mbits/s. Forthese data rates it was found that OFDM presents a significantly lowercomputational burden