Paper
1 November 1993 GEM-algorithm for sea echo Doppler analysis with data corrupted by sparkling interference
Yuri I. Abramovich, Johann F. Boehme, A. Y. Gorokhov, D. Maiwald
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuri I. Abramovich, Johann F. Boehme, A. Y. Gorokhov, and D. Maiwald "GEM-algorithm for sea echo Doppler analysis with data corrupted by sparkling interference", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); https://doi.org/10.1117/12.160434
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Autoregressive models

Data modeling

Doppler effect

Statistical analysis

Computer simulations

Radar

Statistical modeling

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