Training Design for Multipath Channel and Frequency-Offset Estimation in MIMO Systems
IEEE Transactions on Signal Processing
Implementation of a MIMO OFDM-based wireless LAN system
IEEE Transactions on Signal Processing
Frequency Offset Estimation and Training Sequence Design for MIMO OFDM
IEEE Transactions on Wireless Communications
A hybrid integer carrier frequency offset estimator for practical OFDM systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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This paper deals with training-assisted carrier frequency offset (CFO) estimation in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. The exact maximum likelihood (ML) solution to this problem is computationally demanding as it involves a line search over the CFO uncertainty range. To reduce the system complexity, we divide the CFO into an integer part plus a fractional part and select the pilot subcarriers such that the training sequences have a repetitive structure in the time domain. In this way, the fractional CFO is efficiently computed through a correlation-based approach, while ML methods are employed to estimate the integer CFO. Simulations indicate that the proposed scheme is superior to the existing alternatives in terms of both estimation accuracy and processing load.