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

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Title: Improving detection of linear FM signals in noise using adaptive lattice filters
Author: Kahaei, M.H; Boashash, B; Deriche, M
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.
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 http://www.elsevier.com/locate/isbn/0080443354). 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: www.time-frequency.net. 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).
URI: http://hdl.handle.net/10576/10761
Date: 1997-06

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