Block NLMS/F-based equalizer design and channel capacity analysis for indoor IEEE 802.11 fading wireless channels

Abstract

In this paper, adaptive decision feedback-based model is used to design an efficient equalizer to mitigate the detrimental effects during the signal transmission through wireless channels having non-ideal frequency response. The proposed adaptive equalizer is designed using normalized block least mean square/fourth algorithm which yields low bit error rate and mean square error in spite of high noisy and fading channel conditions. The constellations as well as eye diagrams are also taken as performance measuring criteria for indoor wireless channel which is designed by using IEEE 802.11 model with exponential power delay profile. The channel capacity using the proposed model is also analyzed to verify the system performance. Combination of block processing approach and the elegant structure of the equalizer achieves higher symbol estimation accuracy and stable convergence which is quite suitable for indoor fading channel characteristics. The performance comparison of the proposed model is presented with detail simulation results.