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dc.contributor.authorPham, DucSon
dc.contributor.authorZoubir, A.
dc.date.accessioned2017-01-30T13:27:47Z
dc.date.available2017-01-30T13:27:47Z
dc.date.created2009-03-05T00:58:24Z
dc.date.issued2007
dc.identifier.citationPham, Duc and Zoubir, Abdelhak. 2007. Analysis of multicomponent polynomial phase signals. IEEE Transactions on Signal Processing. 55 (1): pp. 56-65.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/31850
dc.identifier.doi10.1109/TSP.2006.882085
dc.description.abstract

While the theory of estimation of monocomponent polynomial phase signals is well established, the theoretical and methodical treatment of multicomponent polynomial phase signals (mc-PPSs) is limited. In this paper, we investigate several aspects of parameter estimation for mc-PPSs and derive the Crameacuter-Rao bound. We show the limits of existing techniques and then propose a nonlinear least squares (NLS) approach. We also motivate the use the Nelder-Mead simplex algorithm for minimizing the nonlinear cost function. The slight increase in computational complexity is a tradeoff for improved mean square error performance, which is evidenced by simulation results.

dc.publisherIEEE Signal Processing Society
dc.titleAnalysis of multicomponent polynomial phase signals
dc.typeJournal Article
dcterms.source.volume55
dcterms.source.number1
dcterms.source.startPage56
dcterms.source.endPage65
dcterms.source.issn1053587X
dcterms.source.titleIEEE Transactions on Signal Processing
curtin.note

Copyright © 2007 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.facultySchool of Electrical Engineering and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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