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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Fuzzy C-Means Clustering Based Robust and Blind Noncoherent Receivers for Underwater Sensor Networks
verfasst von : Bin Li, Zheng Zhou, Weixia Zou, Shubin Wang
Erschienen in: Wireless Algorithms, Systems, and Applications
Verlag: Springer Berlin Heidelberg
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Attributed to complex and dynamic propagations in underwater acoustic sensors network, the multipath signals has posed great challenges in the receiver designing in past decades of years. In this paper, we adopt the UWB channel model in underwater networks and suggest a blind non-coherent receiver. Some differentiated features have been developed to represent the multipath signals. Then, we formulate the underwater signal detection as a data mining process. Fuzzy c-means clustering (FCM) algorithm is finally adopted to perform blind signal detection. Numerical simulations show that our scheme outperforms the traditional noncoherent techniques.