Abstract
Since stochastic wireless channels are highly random, fuzzy-based system are suitable options to deal with such uncertainty. This is because of the fact that the fuzzy system provides expert-level decision while tracking microscopic changes. Fuzzy system, however, requires support from artificial neural network (ANN)s for implementing inference rules. When fuzzy and ANN systems are combined, either neuro-fuzzy (NF) or fuzzy-neural (FN) frameworks are derived. Here, we propose an NF-based model for data recovery in multi-antenna setups when transmitted through stochastic wireless channels. Experimental results show that the proposed approach is computationally efficient.
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Das, B., Bhuyan, M., Sarma, K.K. (2015). ANFIS-Based Symbol Recovery in Multi-antenna Stochastic Channels. In: Sarma, K., Sarma, M., Sarma, M. (eds) Recent Trends in Intelligent and Emerging Systems. Signals and Communication Technology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2407-5_1
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DOI: https://doi.org/10.1007/978-81-322-2407-5_1
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