Abstract
In IoT systems, RFID tags are limited by size, costs and hardware complex. Relaying cooperative communication allows for energy saving through diversity gains, can diminish the per-node energy consumption and increasing network lifetime. However, CSI is always unknown and must depend on the channel estimation techniques to get. We propose a kind of framework batch blind channel estimation methods for the relay cooperative communication of IoT systems. We propose a cost function including a modified RCA error function term and adopt IRLS algorithm to solve the optimization problem. The simulation results show this blind channel estimation method can estimate the CSI correctly without any training sequence, demonstrate the capability of the method to achieve a fast blind estimation of the channel only rely on small batch vector size.
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Xiao-qiang, Z. (2012). Blind Channel Estimation of Relaying Cooperative Communication in IoT Systems. In: Lee, G. (eds) Advances in Computational Environment Science. Advances in Intelligent and Soft Computing, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27957-7_11
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DOI: https://doi.org/10.1007/978-3-642-27957-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27956-0
Online ISBN: 978-3-642-27957-7
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