Particle Filter for Joint Blind Carrier Frequency Offset Estimation and Data Detection
This paper proposes a new blind algorithm for joint carrier offset estimation and data detection, which is based on particle filtering and recursively estimates the joint posterior probability density function of the unknown transmitted data and the unknown carrier offset. We develop new guidelines for resampling of the particles to take into account carrier offset estimation ambiguity at the edges of the range, and for fine tuning estimates to achieve fast, accurate convergence. The Mean...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the International Conference on Signal Processing and Communication Systems (ICSPCS 2010)|
|01_Nasir_Particle_Filter_for_Joint_2010.pdf||400.44 kB||Adobe PDF||Request a copy|
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