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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/150625
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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
- 090600 Electrical and Electronic Engineering
- Subject Keyword
- 100500 Communications Technologies
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Statistics
- Identifier
- http://hdl.handle.net/1959.14/150625
- Identifier
- ISBN:9781424458257
- Identifier
- ISSN:1058-6393
- Identifier
- mq-rm-2011002481
- Language
- eng
- Reviewed
Macquarie University ResearchOnline
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