Abstract
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.
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Li, B., Zhou, Z., Zou, W., Wang, S. (2010). Fuzzy C-Means Clustering Based Robust and Blind Noncoherent Receivers for Underwater Sensor Networks. In: Pandurangan, G., Anil Kumar, V.S., Ming, G., Liu, Y., Li, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2010. Lecture Notes in Computer Science, vol 6221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14654-1_41
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DOI: https://doi.org/10.1007/978-3-642-14654-1_41
Publisher Name: Springer, Berlin, Heidelberg
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