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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The probability density function of the first reflection coefficients of adaptive lattice 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 detect linear FM signals in white Gaussian complex noise.

Inspec keywords: adaptive signal detection; lattice filters; frequency modulation; adaptive filters; Gaussian distribution; Gaussian noise

Other keywords: first reflection coefficients; adaptive coefficients; coloured Gaussian noise process; gradient noise; probability density function; linear FM signals; FM signal detection; adaptive lattice filters; white Gaussian complex noise

Subjects: Other topics in statistics; Signal processing and detection; Filters and other networks

References

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      • Kahaei, M.H., Deriche, M., Boashash, B.: `Polynomial order reducing property of lattice filters forFM signals with polynomial phases', Proc. IEEE region ten Conf. on Digital Signal Processing Applications, 1996, Perth, p. 569–573.
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      • K. Chew , T. Soni , J.R. Zeidler , W.H. Ku . Tracking model of an adaptive lattice filter for a linearchirp FM signal in noise. IEEE Trans. Signal Process. , 8 , 1939 - 1951
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