Title :
Modernized multidimensional Wiener filtering of navigational information with noise correction
Author :
Osadchij, S.I. ; Zubenko, V.O. ; Macuj, A.M.
Author_Institution :
Dept. of Autom. of Production Processes, Kirovograd Nat. Tech. Univ., Kirovograd, Ukraine
Abstract :
The new method of a modernized Wiener optimal filter synthesis is proposed in the article. A main characteristic feature of the method is connected with the achievement of the high-precision selection of the useful stationary random signals vector on a background of a controlled multidimensional stationary noise.
Keywords :
Wiener filters; high-precision selection; modernized multidimensional Wiener optimal filtering synthesis; navigational information; stationary random signals vector; Motion control; Navigation; Noise; Sensors; Transfer functions; Vectors; Wiener filters; Wiener filtering; factorization procedure; matrix; procedure of a synthesis;
Conference_Titel :
Methods and Systems of Navigation and Motion Control (MSNMC), 2014 IEEE 3rd International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4799-6578-6
DOI :
10.1109/MSNMC.2014.6979725
