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

McKilliam, Robby G., Clarkson, I. Vaughan L., Quinn, Barry G. and Moran, Bill (2009). Polynomial-phase estimation, phase unwrapping and the nearest lattice point problem. In: Conference record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009. 43rd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA United States, (493-495). 1 - 4 November 2009. doi:10.1109/ACSSC.2009.5469871


Author McKilliam, Robby G.
Clarkson, I. Vaughan L.
Quinn, Barry G.
Moran, Bill
Title of paper Polynomial-phase estimation, phase unwrapping and the nearest lattice point problem
Conference name 43rd Asilomar Conference on Signals, Systems and Computers
Conference location Pacific Grove, CA United States
Conference dates 1 - 4 November 2009
Proceedings title Conference record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009   Check publisher's open access policy
Journal name Asilomar Conference on Signals, Systems and Computers. Conference Record   Check publisher's open access policy
Place of Publication Piscataway, NJ United States
Publisher I E E E
Publication Year 2009
Year available 2009
Sub-type Fully published paper
DOI 10.1109/ACSSC.2009.5469871
Open Access Status
ISBN 9781424458271
1424458277
9781424458257
1424458250
ISSN 1058-6393
Start page 493
End page 495
Total pages 3
Collection year 2010
Language eng
Abstract/Summary 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.
Subjects 1705 Computer Networks and Communications
1711 Signal Processing
Keyword Chirp signals
Closest point search
Lattice decoding
Lattice theory
Parameter estimation
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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