Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
The existing method to perform joint carrier frequency offset (CFO) and channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems in time domain is based on the extended Kalman filter (EKF). The existing method requires knowledge of channel...
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| Format: | Thesis |
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2013
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| Summary: | The existing method to perform joint carrier frequency offset (CFO) and channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems in time domain is based on the extended Kalman filter (EKF). The existing method requires knowledge of channel statistics. The observation noise covariance is assumed to be known. The state transition matrix and the state noise covariance can be obtained by solving the Yule Walker equations, which requires knowledge of the maximum Doppler frequency or mobile velocity. In practical systems, such information may not be readily available. In this thesis, a joint CFO and channel parameters estimation algorithm for MIMO-OFDM systems is proposed. The algorithm does not require any knowledge of channel statistics where the channel gains, CFO, state transition coefficients, state noise covariance and observation noise covariance are jointly estimated. Simulation results show that the proposed method is capable of matching the performance of the existing algorithm without requiring knowledge of channel statistics. The performance of the existing algorithm is shown to degrade when inaccurate information of mobile velocity is used. The proposed algorithm has no such issue as it does not require knowledge of mobile velocity. |
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