Abstract
Due to great carrier frequency deviation under high speed railway environment (HSRE), the existing estimation algorithms perform ineffectively in terms of complexity and the estimation accuracy. In this paper, dynamic nodes selection strategy is proposed to achieve diversity gains in cooperative frequency offset estimation. This paper presents a weighted frequency offset estimation model for each receiver. The model not only allows for the weight of SINR but includes the weight of strong path signal. Monte-Carlo method is used to simulate the HSRE OFDM system. And numerical results of cooperation model are compared with conventional algorithms. Both of which verify that the cooperative estimation method is closer to the lower bound and shows better system performance in terms of bit error rate.
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Acknowledgments
This paper is supported by: National Science & Technology Pillar Program (No. 2008BAH30B10), National Science and Technology Major Project of China under Grant 2010ZX03002-007, the National Natural Science Foundation of China (No. 61103179), Shanghai Science and Technology Development Funds 10QA1406300.
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Wang, P., Gao, Z., Liu, F. et al. Dynamic Nodes Selection Based Cooperative Frequency Offset Estimation Algorithm. Int J Wireless Inf Networks 19, 138–146 (2012). https://doi.org/10.1007/s10776-011-0168-7
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DOI: https://doi.org/10.1007/s10776-011-0168-7