Improving detection of linear FM signals in noise using adaptive lattice filters

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Improving detection of linear FM signals in noise using adaptive lattice filters

Show simple item record Kahaei, M.H Boashash, B Deriche, M 2011-10-18T19:07:53Z 2011-10-18T19:07:53Z 1997-06
dc.identifier.citation Electronics Letters Issue Date : 5 Jun 1997 Volume : 33 , Issue:12 On page(s): 1032 - 1034 en_US
dc.identifier.issn 0013-5194
dc.description Adaptive lattice filters can be used to transform input linear FM. signals (in white Gaussian noise) to complex sinusoids (in additive coloured Gaussian noise). This transformation can be used to detect a linear FM signal in noise by defining a new binary hypothesis for the transformed signals. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
dc.description.abstract The probability density function of the first reflection coefficients of adaptivelattice filters is experimentally characterised. Specifically, for small significance levels, the gradient noise at the adaptive coefficients can be modelled as a coloured Gaussian noise process. These coefficients are then used to detectlinear FM signals in white Gaussian complex noise. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject adaptive filters en_US
dc.subject Gaussian noise en_US
dc.subject Gaussian processes en_US
dc.subject Detector circuits en_US
dc.subject FM signal detection en_US
dc.subject adaptive coefficients en_US
dc.subject adaptive lattice filters en_US
dc.subject coloured Gaussian noise process en_US
dc.subject first reflection coefficients en_US
dc.subject gradient noise en_US
dc.subject linear FM signals en_US
dc.subject probability density function en_US
dc.subject white Gaussian complex noise en_US
dc.subject time-frequency analysis en_US
dc.subject time-varying signals en_US
dc.subject non-stationary signals en_US
dc.subject instantaneous frequency en_US
dc.title Improving detection of linear FM signals in noise using adaptive lattice filters en_US
dc.type Article en_US

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