Filtering nonlinear measurements.
Loading...
Authors
Hudson, Ralph E.
Subjects
Advisors
Titus, Ralph E.
Date of Issue
1966-12
Date
Publisher
Monterey, California. U.S. Naval Postgraduate School
Language
en_US
Abstract
An algorithm is developed for estimating the state of a linear dynamic
system excited by a random sequence. The input data are noisy
observations which are nonlinear functions of the state. The estimates
are best in the sense of least squared residuals. A significant problem
in radar tracking is investigated and the effectiveness of the algorithm
verified.
Type
Thesis
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.