Title :
A novel high resolution parallel spectral estimation method for narrow-band signals
Author :
Liu, Wei ; Doraiswami, R.
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
A high resolution parallel algorithm is proposed for estimating the spectrum of a narrow-band signal from a short data record. The algorithm is based on combining the nonparametric and parametric approaches, where the nonparametric approach is used to decompose the measurement data into an orthogonal set of components, and the parametric approach is used to estimate the model of these components in parallel. A fast Fourier transform (FFT) is used to decompose the signal. A singular value decomposition (SVD)-based linear predictive coding algorithm (LPCA) is used to obtain an autoregressive moving average (ARMA) model of the signal components. The FFT of the signal components is translated to the low-frequency region, and their inverse FFTs are decimated before estimating the ARMA model so as to separate the closely-spaced modes. The spectra of the estimates are translated back to their original location. The proposed algorithm is evaluated using simulation
Keywords :
fast Fourier transforms; parallel algorithms; signal processing; spectral analysis; time series; ARMA; autoregressive moving average; closely-spaced modes; fast Fourier transform; high resolution parallel algorithm; inverse FFTs; linear predictive coding algorithm; narrow-band signal; nonparametric approach; orthogonal set; parametric approach; short data record; signal components; singular value decomposition; spectral estimation method; Autoregressive processes; Fast Fourier transforms; Flexible printed circuits; Linear predictive coding; Narrowband; Parallel algorithms; Prediction algorithms; Predictive models; Signal resolution; Singular value decomposition;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371199