DocumentCode
2555519
Title
Characteristics of autoregressive spectral estimation in range-Doppler imaging
Author
Chen, Yin-Wu ; Berkowitz, Raymond S.
Author_Institution
Moore Sch. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
fYear
1988
fDate
20-21 Apr 1988
Firstpage
118
Lastpage
122
Abstract
The characteristics of autoregressive spectral estimation (ARSE) in range-Doppler imaging are studied with respect to three ARSE algorithms. These are the forward-backward linear prediction (FBLP) algorithm, the Burg algorithm, and the modified forward-backward linear prediction (MFBLP) algorithm. The mathematical interpretations of these algorithms are addressed, and simulation results demonstrating these characteristics for the radar images constructed are presented
Keywords
Doppler effect; radar theory; spectral analysis; Burg algorithm; autoregressive spectral estimation; modified forward-backward linear prediction algorithm; radar images; range-Doppler imaging; simulation results; Autoregressive processes; Computed tomography; Contracts; Difference equations; Frequency estimation; Noise level; Phase noise; Polynomials; Prediction algorithms; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 1988., Proceedings of the 1988 IEEE National
Conference_Location
Ann Arbor, MI
Type
conf
DOI
10.1109/NRC.1988.10943
Filename
10943
Link To Document