Particle Filters for Joint Timing and Carrier Estimation: Improved Resampling Guidelines and Weighted Bayesian Cram?r-Rao Bounds

Provided by: Institute of Electrical & Electronic Engineers
Topic: Mobility
Format: PDF
This paper proposes a framework for joint blind timing and carrier offset estimation and data detection using a Sequential Importance Sampling (SIS) particle filter in Additive White Gaussian Noise (AWGN) channels. The authors assume baud rate sampling and model the intractable posterior probability distribution functions for sampling timing and carrier offset particles using beta distributions. To enable the SIS approach to estimate static synchronization parameters, they propose new re-sampling guidelines for dealing with the degeneracy problem and fine tuning the estimated values. They derive the Weighted Bayesian Cram?r Rao Bound (WBCRB) for joint timing and carrier offset estimation, which takes into account the prior distribution of the estimation parameters and is an accurate lower bound for all considered Signal to Noise Ratio (SNR) values.

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