4 research outputs found

    The Variational Inference Approach to Joint Data Detection and Phase Noise Estimation in OFDM

    No full text

    A Variational Inference Framework for Soft-In Soft-Out Detection in Multiple-Access Channels

    No full text

    Optimal OFDM channel estimation with carrier frequency offset and phase noise

    No full text
    Abstract-We propose an optimal training-based OFDM channel impulse response (CIR) estimation algorithm that addresses the phase noise (PHN) and carrier frequency offset (CFO) problem. If left unattended, these combined problems severely degrade the accuracy of the channel estimate and ultimately the quality of the wireless link. The solution involves the joint optimization of a complete log-likelihood function over the unknown CIR, PHN and CFO. To reduce the complexity of the proposed algorithm, a simplification based on the conjugate gradient method is introduced, yielding an efficient realization using the Fast Fourier Transform (FFT) with only minor performance degradation
    corecore