Characterization of windowing effects in adaptive extrapolation of sinusoids

Author

Chan, Shiu H. ; Brito, Alejandro E. ; Cabrera, Sergio D.

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX, USA

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1092

Abstract

The adaptive weighted norm extrapolation (AWNE) method is well suited for spectral analysis of sinusoidal signals from short data records. The time-domain shape of the envelope of the result is considered to be a windowing on the original signal. This paper uses statistical methods and harmonic random processes to estimate this imposed window. The squared Tukey window is found to closely match the average window shape. The windowing assumption is then evaluated using signal comparison criteria. Finally, the application of the window model to SAR imaging is illustrated.

Keywords

adaptive signal processing; extrapolation; harmonic analysis; radar imaging; spectral analysis; statistical analysis; synthetic aperture radar; time-domain analysis; AWNE method; SAR imaging; adaptive extrapolation; adaptive weighted norm extrapolation; average window shape; envelope; harmonic random processes; short data record; signal comparison criteria; sinusoidal signals; sinusoids; spectral analysis; squared Tukey window; statistical methods; time-domain shape; windowing assumption; windowing effects; Autocorrelation; Equations; Extrapolation; Frequency; Shape; Signal resolution; Spectral analysis; Statistical analysis; Synthetic aperture radar; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831878

Filename

831878