Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Joint CFO and Channel Estimation for Multiuser MIMO-OFDM Systems With Optimal Training Sequences
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
MIMO-OFDM wireless systems: basics, perspectives, and challenges
IEEE Wireless Communications
A MIMO-OFDM channel estimation approach using time of arrivals
IEEE Transactions on Wireless Communications
Turbo processing for an OFDM-based MIMO system
IEEE Transactions on Wireless Communications
Optimal training signals for MIMO OFDM channel estimation
IEEE Transactions on Wireless Communications
ML-based Tracking Algorithms for MIMO-OFDM
IEEE Transactions on Wireless Communications
Turbo-MIMO for wireless communications
IEEE Communications Magazine
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Hi-index | 0.00 |
This paper proposes a turbo joint channel estimation, synchronization, and decoding scheme for coded multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The effects of carrier frequency offset (CFO), sampling frequency offset (SFO), and channel impulse responses (CIRs) on the received samples are analyzed and explored to develop the turbo decoding process and vector recursive least squares (RLSs) algorithm for joint CIR, CFO, and SFO tracking. For burst transmission, with initial estimates derived from the preamble, the proposed scheme can operate without the need of pilot tones during the data segment. Simulation results show that the proposed turbo joint channel estimation, synchronization, and decoding scheme offers fast convergence and low mean squared error (MSE) performance over quasistatic Rayleigh multipath fading channels. The proposed scheme can be used in a coded MIMO-OFDM transceiver in the presence of multipath fading, carrier frequency offset, and sampling frequency offset to provide a bit error rate (BER) performance comparable to that in an ideal case of perfect synchronization and channel estimation over a wide range of SFO values.