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

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Title: Polynomial-phase estimation, phase unwrapping and the nearest lattice point problem
Related: Asilomar Conference on Signals, Systems and Computers (43rd : 2009) (1 - 4 November 2009 : Pacific Grove, CA)
Related: Matthews, Michael B.. Conference record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009, p.493-495
DOI: 10.1109/ACSSC.2009.5469871
Publisher: New York : IEEE Press
Date: 2009
Author/Creator: McKilliam, Robby G
Author/Creator: Clarkson, I. Vaughan L
Author/Creator: Quinn, Barry G
Author/Creator: Moran, Bill
Description: 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.
Description: 3 page(s)
Subject Keyword: 010400 Statistics
Resource Type: conference paper
Organisation: Macquarie University. Department of Statistics

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