Kalman filter with adaptive measurement variance estimator

Electrical computers: arithmetic processing and calculating – Electrical digital calculating computer – Particular function performed

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

10023346

ABSTRACT:
A Kalman filtering technique employing an adaptive measurement variance estimator is disclosed. The Kalman filtering technique includes a signal filtering mechanism, the signal filtering mechanism futher includes a Kalman filter and a variance estimator. The variance estimation used in the filtering includes estimating the variance of the measured quantity signal and generating the variance estimate signal for use in filtering the input signal and the measured quantity signal, wherein estimating the variance of the measured quantity signal includes determining a smoothed estimate of the measured quantity's variance from the measured quantity signal. The invention also manifests itself as a method for filtering and estimating, a program storage medium encoded with instructions that, when executed by a computer, performs such a method, an electronic computing device programmed to perform such a method, and a transmission medium over which the method is performed.

REFERENCES:
patent: 5640429 (1997-06-01), Michels et al.
patent: 5867411 (1999-02-01), Kumar
patent: 6463411 (2002-10-01), Li et al.
patent: 6693979 (2004-02-01), Kumar
patent: 2003/0171830 (2003-09-01), Thomson et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Kalman filter with adaptive measurement variance estimator does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Kalman filter with adaptive measurement variance estimator, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Kalman filter with adaptive measurement variance estimator will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3739884

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.