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Robust high resolution spectral estimation: a combined non-parametric–parametric approach

✍ Scribed by Wei Liu; R. Doraiswami

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
751 KB
Volume
336
Category
Article
ISSN
0016-0032

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✦ Synopsis

A robust high resolution algorithm is proposed for estimating the frequency locations of narrow!band signals from a short!time measurement data with low signal to noise ratio "SNR#[ The algorithm is based on combining the parametric and non!parametric spectral estimation approaches[ The measurement fast fourier transform "FFT# spectrum is segmented into com! ponents based on the presence of maxima[ The separated portions of the spectrum are then used to construct signal spectral estimates of FFT through a low order optimal linear prediction process[ Signal components are generated from these spectral estimates using inverse FFT "IFFT# and a modi_ed singular value decomposition "SVD# based linear predictive coding algorithm "LPCA# is used to estimate their ARMA models[ The desired high resolution signal spectrum is computed using the estimated ARMA model parameters[ The proposed method is evaluated in terms of the spectral resolution and speed of computation when the SNR is low and the signal modes are closely spaced[

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