A comparison of algorithms for fitting the PARAFAC model
Computational Statistics & Data Analysis
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Identifiability results for blind beamforming in incoherentmultipath with small delay spread
IEEE Transactions on Signal Processing
Robust iterative fitting of multilinear models
IEEE Transactions on Signal Processing - Part I
ML estimation of time and frequency offset in OFDM systems
IEEE Transactions on Signal Processing
Wireless Personal Communications: An International Journal
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In this paper, we address the problem of carrier frequency offset (CFO) estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems with multiple antennas. The received signal can be denoted as a trilinear model, then the trilinear decomposition-based CFO estimation algorithm is proposed. Comparing to both ESPRIT method and the cyclostationarity (CS) approach, the algorithm that we presented has improved CFO estimation performance. Furthermore, our proposed algorithm can even work in condition of no virtual carrier. Simulation results illustrate performance of this algorithm.