Underwater Multiple Access Communication Using Spread Spectrum Scheme
National Academy Science Letters, ISSN: 2250-1754
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Ultra-wideband (UWB) communication offers high bandwidth with low power spectral density, allowing it to coexist with narrowband systems. However, as the number of users’ increases, Multi-Access Interference (MAI) becomes a significant challenge, impacting the performance of UWB systems. Traditional Spread Spectrum (SS) methods face difficulties modeling MAI due to its complex nature, leading to inaccuracies in signal models and reduced communication efficiency. Fuzzy logic addresses signal model inaccuracies, providing a flexible and effective solution. This study explores using a fuzzy inference system (FIS) detector to mitigate MAI in a multiple-access UWB system. The FIS detector maps input vectors into a fuzzy space, enhancing detection and preventing performance deterioration. Additionally, the use of multistage interference cancellation (MIC) is examined, where interference from other users is iteratively estimated and removed to improve detection accuracy and overall system performance.
Bibliographic Details
Springer Science and Business Media LLC
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