Abstract:
Compressive sensing is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. This study considered the carrier frequency offset estimation problem for interleaved orthogonal frequency-division multiple-access uplink systems. A new carrier frequency offset estimation method based on the compressive sensing theory is proposed to estimate the carrier frequency offsets in interleaved OFDMA uplink systems. The presented method can effectively estimate all carrier frequency offsets of the active users by finding the sparest coefficients. Simulation results are presented to verify the efficiency of the proposed approach.
Ruiyan Du, Jinkuan Wang, Yanli Bo and Liang Cui, 2012. Carrier Frequency Offset Estimation Algorithm Based on Compressive Sensing Theory for Interleaved OFDMA Uplink Systems. Information Technology Journal, 11: 1286-1291.
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