Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

On the Extraction of Signals from Environments Containing Additive-Noise and Multiplicative Characteristics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

The purpose of this paper is to present an applications-oriented discussion of the Kalman filter theory. The subject has received extensive treatment in the fields of orbit estimation and deterministic control system theory. This paper will emphasize the extraction of information from an additive-noise environment, i.e., the classical observation problem and its relation to the estimation theory. This subject is chosen in order to make the discussion concrete, and because of the general lack of application of the newer Kalman theory to this important area. Engineering application of the filter theory is discussed by working through a filter design that involves both compensation and estimation.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:18 ,  Issue: 3 )