DocumentCode
387826
Title
On nonlinear estimation in presence of non-Gaussian Noise
Author
Kumar, Ravi
Author_Institution
Packard Electric, Division of General Motors Corporation
Volume
10
fYear
1985
fDate
31138
Firstpage
648
Lastpage
651
Abstract
An algorithm for optimal estimation in presence of non-Gaussian observation noise is presented. The algorithm, based on Bayes´ recursion formula is implemented numerically. The filter is shown to be superior to the Kalman Filter when applied to the same system. It has been shown that the steady state estimation error is zeros. The Algorithm is a potential technique for analyzing transients in the automobile electrical environoment.
Keywords
Additive noise; Automobiles; Automotive engineering; Estimation error; Frequency; Instruments; Nonlinear filters; Signal analysis; Steady-state; Transient analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type
conf
DOI
10.1109/ICASSP.1985.1168343
Filename
1168343
Link To Document