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Mixture Kalman Filtering for Joint Carrier Recovery and Channel Estimation in Time-selective Rayleigh Fading Channels

Nasir, Ali; Kennedy, Rodney; Durrani, Salman


This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. MKF is a powerful tool for estimating unknown parameters in non-linear, non-Gaussian, real-time applications. We use a combination of Kalman filtering and Sequential Monte Carlo Sampling to estimate the channel fading coefficients and joint posterior probability density of the unknown carrier offset and transmitted data...[Show more]

CollectionsANU Research Publications
Type: Conference paper
Source: On the Construction of Low-pass Filters on the Unit Sphere
Book Title: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)
DOI: 10.1109/ICASSP.2011.5946231


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