OFDM joint data detection and phase noise cancellation for constant modulus modulations
IEEE Transactions on Signal Processing
Window design for SISO and MIMO OFDM systems
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Decision-directed least-squares phase perturbation compensation in OFDM systems
IEEE Transactions on Wireless Communications
Joint compensation of IQ imbalance and phase noise in OFDM wireless systems
IEEE Transactions on Communications
Improved channel estimation in OFDM systems in the presence of CFO
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Blind Sequential Monte Carlo Joint Tracking of Channel State and Frequency Offset in OFDM Systems
Wireless Personal Communications: An International Journal
A non-iterative technique for phase noise ICI mitigation in packet-based OFDM systems
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
| Hi-index | 35.69 |
Accurate channel estimates are needed in orthogonal frequency-division multiplexing (OFDM), and easily obtained under the assumption of perfect phase and frequency synchronization. However, the practical receiver encounters nonnegligible phase noise (PHN) and carrier frequency offset (CFO), which create substantial intercarrier interference that a conventional OFDM channel estimator cannot account for. In this paper, we introduce an optimal (maximum a posteriori) joint estimator for the channel impulse response (CIR), CFO, and PHN, utilizing prior statistical knowledge of PHN that can be obtained from measurements or data sheets. In addition, in cases where a training symbol consists of two identical halves in the time domain, we propose a variant to Moose's CFO estimation algorithm that optimally removes the effect of PHN with lower complexity than with a nonrepeating training symbol. To further reduce the complexity of the proposed algorithms, simplified implementations based on the conjugate gradient method are also introduced such that the estimators studied in this paper can be realized efficiently using the fast Fourier transform with only minor performance degradation. EDICS: SPC-MULT, SPC-CEST, SPC-DETC