Particle filter for joint blind carrier frequency offset estimation and data detection

Ali A. Nasir, Salman Durrani, Rodney A. Kennedy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    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 Square Error (MSE) and Bit Error Rate (BER) performance of the proposed algorithm is studied through computer simulations. The results show that the proposed algorithm achieves fast convergence for the full acquisition range for normalized carrier frequency offsets.

    Original languageEnglish
    Title of host publication4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings
    DOIs
    Publication statusPublished - 2010
    Event4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Gold Coast, QLD, Australia
    Duration: 13 Dec 201015 Dec 2010

    Publication series

    Name4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings

    Conference

    Conference4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010
    Country/TerritoryAustralia
    CityGold Coast, QLD
    Period13/12/1015/12/10

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