Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Iterative carrier-frequency offset estimation for generalized OFDMA uplink transmission
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
Blind Frequency Synchronization in OFDM via Diagonality Criterion
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
BER minimized OFDM systems with channel independent precoders
IEEE Transactions on Signal Processing
ML estimation of time and frequency offset in OFDM systems
IEEE Transactions on Signal Processing
A consistent OFDM carrier frequency offset estimator based on distinctively spaced pilot tones
IEEE Transactions on Wireless Communications
Frequency offset estimation for differential OFDM
IEEE Transactions on Wireless Communications
A time and frequency synchronization scheme for multiuser OFDM
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Hi-index | 35.68 |
This paper presents a novel method. for blind carrier-frequency-offset (CFO) estimation in linearly precoded OFDMA uplink. Our investigation starts from the single-user equivalent (SUE) scenario presented in [2] where active users in the network are categorized into a number of reference (synchronized) users (RUs) and a new (asynchronous) user (NU). The major idea is to take advantage of time correlaltion induced by the linear precoder, which offers a second-order moments-based blind CFO estimation. The precoder design is cardully performed in terms of CFO identifiability, estimation accuracy and overall system performance. In the multiuser scenario, where all users can be misaligned in frequency domain, the proposed CFO estimator is capable of mitigating a cousiderable portion of interference from neighboring users through exploitation of a novel time-frequency multiuser data-mapping (MU-DM) scheme. To demonstrate the multiuser interference (MUI)-resilience feature of proposed scheme, theoretical analysis is performed through derivation of approximate minimum-mean-square error (MMSE) in both SUE and multiuser scenarios. It is shown that by exploitation of the proposed MU-DM scheme, the approximate multiuser MMSE is very close to that of SUE scenario. Simulation results show that the proposed approach outperforms state-of-the-art approaches in both SUE and multiuser scenarios.