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Proceedings Paper

GEM-algorithm for sea echo Doppler analysis with data corrupted by sparkling interference
Author(s): Yuri I. Abramovich; Johann F. Boehme; A. Y. Gorokhov; D. Maiwald
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Paper Abstract

An autoregressive parameter estimation algorithm combined with a generalized expectation- minimization approach is used to provide a recursive procedure for spectral analysis of real data corrupted by sparkling interferences. The prediction filter is stable and estimated with low bias. These properties also guarantee fast convergence. Results of the real data processing are represented.

Paper Details

Date Published: 1 November 1993
PDF: 10 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160434
Show Author Affiliations
Yuri I. Abramovich, Odessa Polytechnical University (Ukraine)
Johann F. Boehme, Ruhr-Univ. Bochum (Germany)
A. Y. Gorokhov, Odessa Polytechnical University (Ukraine)
D. Maiwald, Ruhr-Univ. Bochum (Germany)


Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)

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