ADAPTIVE FILTERING THE MULTISENSORY MEASUREMENTS BY LEAST-SQUARE METHOD
Abstract
The least-square methodology is given consider adaptive filtering for multisensory measurements
in case of uncertain prior knowledge about signal models and measurement noise parameters. The accuracy comparison with Kalman filtering is presented.
About the Authors
V. M. Artemiev
Институт прикладной физики НАН Беларуси
Belarus
A. O. Naumov
Институт прикладной физики НАН Беларуси
Belarus
L. L. Kokhan
Институт прикладной физики НАН Беларуси
Belarus
References
1. Spravochnik po teorii avtomaticheskogo upravleniya / pod. red. A.A. Krasovskogo. - M. : Nauka, 1987. - 711 s.
2. Stepanov, A.O. Osnovy teorii otsenivaniya s prilozheniyami k zadacham obrabotki navigatsionnoi informatsii : v 3 ch. / A.O. Stepanov. - SPb. : GNTs RF TsNII «Elektropribor», 2009. - Ch. 1. : Vvedenie v teoriyu otsenivaniya. - 496 s.
3. Veen, van B.D. Beam forming: A versatile approach to spatial filtering / B.D. van Veen, K.M. Bukley // IEEE Acoust., Speech, Signal Processing Mag. - 1988. - Vol. 5. - P. 4-24.
4. A Fast Least-Squares Algorithms for Linearly Constrained Adaptive Filtering / G.B. Maurice [et al.] // IEEE Trans. Signal Processing. - 1996. - Vol. 44, no. 5. - P. 1168-1174.
5. Adaptivnye fil'try / pod. red. P.N. Granta, K.F. Kouena. - M. : Mir, 1988. - 388 s.
6. Linnik, Yu.V. Metod naimen'shikh kvadratov i osnovy matematiko-statisticheskoi teorii obrabotki izobrazhenii / Yu.V. Linnik. - M. : Fizmatgiz, 1962. - 349 s.
7. Artem'ev, V.M. Optimal'naya lineinaya sovmeshchennaya fil'tratsiya sluchainykh posledovatel'nostei na osnove rekurrentnogo metoda naimen'shikh kvadratov / V.M. Artem'ev, A.O. Naumov, L.L. Kokhan // Informatika. - 2015. - № 1. - S. 8-16.
For citations:
Artemiev V.M.,
Naumov A.O.,
Kokhan L.L.
ADAPTIVE FILTERING THE MULTISENSORY MEASUREMENTS BY LEAST-SQUARE METHOD. Informatics. 2016;(3):25-30.
(In Russ.)
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