Abstract
The OFDM technology has been widely applied for the effective information transmission in the Internet of Vehicles. In order to solve the problem that synchronization process is complex and the amount of calculation is very large by using the current synchronization algorithm of OFDM system, we propose a synchronization method based on the particle swarm optimization algorithm in the paper. Through being taken the symbol timing and frequency offset of the OFDM system as a two-dimensional particle, the estimations of the symbol timing and frequency offset value are implemented simultaneously by the particle swarm optimization algorithm. Thus the synchronization of OFDM system is achieved by compensating the time and frequency. The computer simulation results show that the proposed algorithm has the better performance, the simpler implementation, and the lower complexity than the existing synchronization algorithms.
This project is supported by research program of Changzhou applied foundation.
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© 2014 Springer International Publishing Switzerland
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Kang, G., Kang, H., Meng, J. (2014). The Study of OFDM Synchronization Based on the Particle Swarm Optimization Algorithm. In: Hsu, R.CH., Wang, S. (eds) Internet of Vehicles – Technologies and Services. IOV 2014. Lecture Notes in Computer Science, vol 8662. Springer, Cham. https://doi.org/10.1007/978-3-319-11167-4_19
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DOI: https://doi.org/10.1007/978-3-319-11167-4_19
Publisher Name: Springer, Cham
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