Polynomial-phase estimation, phase unwrapping and the nearest lattice point problem

Robby G. McKilliam, I. Vaughan L Clarkson, Barry G. Quinn, Bill Moran

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

    6 Citations (Scopus)

    Abstract

    Polynomial-phase signals have attracted significant interest due to their applicability to radar, sonar, geophysics, and radio communication. In this paper we introduce a new technique for estimating the parameters of polynomial phase signals. The parameters are estimated by performing phase unwrapping in a least squares manner. The least squares problem is formulated as a nearest lattice point problem that can be solved using existing techniques. The statistical performance of the new estimator is excellent when compared with popular existing estimators such as those based on the discrete polynomial phase transform.

    Original languageEnglish
    Title of host publicationConference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009
    EditorsMichael B. Matthews
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages493-495
    Number of pages3
    ISBN (Electronic)9781424458271, 9781424458264
    ISBN (Print)9781424458257
    DOIs
    Publication statusPublished - 2009
    Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
    Duration: 1 Nov 20094 Nov 2009

    Other

    Other43rd Asilomar Conference on Signals, Systems and Computers
    CountryUnited States
    CityPacific Grove, CA
    Period1/11/094/11/09

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