Abstract
The Maximum likelihood (ML) estimation algorithm of timing deviation and carrier frequency offset in orthogonal frequency division multiplexing (OFDM) system is studied, and the ML algorithm is extended to the fast fading multipath wireless channel environment using the multi-symbol Joint estimation technique. This method is based on the autocorrelation of cyclic prefixes (CP) in OFDM blocks without training data, the spectral efficiency and throughput of the system are improved. Meanwhile, in the case of the extremum of signal-to-noise ratio, two algorithms are deduced, which are suboptimal but less computational complexity and more adaptable to channel. Simulation results indicate that this scheme can effectively improve the estimation performance of symbol timing deviation and carrier frequency offset in fast fading multipath channel.
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Liu, J., Han, K., Wu, W., Wang, S., Yu, X. (2018). Blind Estimation Algorithm Over Fast-Fading Multipath OFDM Channels. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11336. Springer, Cham. https://doi.org/10.1007/978-3-030-05057-3_20
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DOI: https://doi.org/10.1007/978-3-030-05057-3_20
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