• DocumentCode
    2242133
  • Title

    CRLB and ML algorithm for joint recovery of carrier phase and IQ imbalance

  • Author

    Gappmair, Wilfried ; Koudelka, Otto

  • Author_Institution
    Inst. of Commun. Networks & Satellite Commun., Graz Univ. of Technol., Graz, Austria
  • fYear
    2010
  • fDate
    21-23 July 2010
  • Firstpage
    96
  • Lastpage
    100
  • Abstract
    Due to the challenging design goals for present and future communication systems, e.g., low cost and small power dissipation, direct-conversion or low-IF transceivers are a most attractive option, preferably realized on a single-chip architecture. The inherent drawbacks, like IQ gain and phase imbalance, can be compensated by appropriately developed DSP solutions. In this respect, Cramer-Rao lower bound (CRLB) and maximum-likelihood (ML) algorithm for joint recovery of carrier and IQ phase offset are very interesting for comparison reasons. Interestingly, recent contributions on this subject do not address this issue, whereas it has been discussed in a less recent paper. The current investigation extends the latter in two aspects: (i) it includes IQ gain imbalance as well; (ii) the correlation of noise components in the baseband, regarded as independent in the reference paper and thus causing some shortcomings, is taken into account.
  • Keywords
    maximum likelihood estimation; signal processing; CRLB algorithm; Cramer-Rao lower bound algorithm; DSP solution; IQ imbalance recovery; ML algorithm; carrier phase recovery; communication system; maximum-likelihood algorithm; phase imbalance; single-chip architecture; Gain; Jitter; Joints; Maximum likelihood estimation; Noise; Receivers; Cramer-Rao lower bound; IQ imbalance; carrier phase; maximum-likelihood solution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on
  • Conference_Location
    Newcastle upon Tyne
  • Print_ISBN
    978-1-4244-8858-2
  • Electronic_ISBN
    978-1-86135-369-6
  • Type

    conf

  • Filename
    5580452