Compressed Sensing Based Blind Carrier Frequency Offset Estimation for OFDM System

Gang Yang; Hua Xin Yu; Xiao Fei Zhang

doi:10.4028/www.scientific.net/AMR.756-759.1894

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Compressed Sensing Based Blind Carrier Frequency...

Compressed Sensing Based Blind Carrier Frequency Offset Estimation for OFDM System

Abstract:

In this paper, we address the problem of carrier frequency offset (CFO) estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems. This paper links CFO estimation problem in OFDM systems to the compressed sensing model. Exploiting this link, it derives a compressed sensing-based CFO estimation algorithm. The proposed algorithm has better CFO estimation performance than ESPRIT method with lower signal-to-noise ratio (SNR). Simulation results illustrate performance of this algorithm.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

1894-1897

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.1894

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Online since:

September 2013

Authors:

Gang Yang, Hua Xin Yu, Xiao Fei Zhang

Keywords:

Carrier Frequency Offset (CFO), Compressed Sensing, Orthogonal Frequency Division Multiplexing (OFDM)

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References

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