Rank: 25083 based on downloads (last 30 days) and 0 files submitted

Dapat Chawah

E-mail: balaloon@hotmail.com
Company/University: ESEO/ France

Personal Profile:: I'm a stagier in the university of "Ecole superieure de l'electronic de l'Ouest'
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Comments and Ratings by Dapat		View all 1 - 3 of 3
Updated	File	Comments	Rating
20 Apr 2009	Learning the Unscented Kalman Filter An implementation of Unscented Kalman Filter for nonlinear state estimation. Author: Yi Cao	hello Dr.Yi This code is working good for N<=150 but when N exceeds this limit, a nonsense happens Is there any improvement to the code considering this error?
20 Apr 2009	Learning the Extended Kalman Filter An implementation of Extended Kalman Filter for nonlinear state estimation. Author: Yi Cao	Sorry, this comment is meant to be in the unscented kalman filter file discussion
20 Apr 2009	Learning the Extended Kalman Filter An implementation of Extended Kalman Filter for nonlinear state estimation. Author: Yi Cao	This code is working good for N<=150 but when N exceeds this limit, a nonsense happens Is there any improvement to the code considering this error?

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Files Matching Dapat's Watch List				View all 1 - 2 of 2
Updated	File	Tags	Downloads (last 30 days)	Comments	Rating
24 Jan 2008	Learning the Unscented Kalman Filter An implementation of Unscented Kalman Filter for nonlinear state estimation. Author: Yi Cao	filter design, filter analysis, unscented kalman filt..., extended kal, state estimation, kalman filter	385	27	3.88889 3.9 \| 9 ratings
23 Jan 2008	Learning the Extended Kalman Filter An implementation of Extended Kalman Filter for nonlinear state estimation. Author: Yi Cao	extended kalman filte..., kalman filter, filter analysis, state estimate, filter design	495	18	4.47059 4.5 \| 17 ratings

Comments and Ratings Matching Dapat's Watch List			1-5 of 55
Date	File	Comment by	Comments	Rating
11 Aug 2009	Learning the Extended Kalman Filter An implementation of Extended Kalman Filter for nonlinear state estimation.	iasri icar	hi yi, would like to know if its appropriate to use EKF for forecasting of agricultural yields like fish ,rice etc. i am planning to use EXPAR with EKF for the problem stated above and would you kindly be able to give some of your ideas regarding the same.thankyou, with regards bishal.	Comment only
20 Jul 2009	Learning the Extended Kalman Filter An implementation of Extended Kalman Filter for nonlinear state estimation.	maheswaran Rathinasamy		5
23 Jun 2009	Learning the Unscented Kalman Filter An implementation of Unscented Kalman Filter for nonlinear state estimation.	Peter Schenkel	ok for some reasion my previous posting got lost , so once again : I am using UKF to estimate distances from radio signal strength. Eventhough the RSSI error (measurement equation) is gauss distributed UKF performs very poorly and I cannot understand why as it seems the perfect choice for this kind of problem. I set the measurment nois to the std I got from the training data. My system equations are f=@(x)[abs(x(1)+x(2));abs(x(3)-x(1));x(1)] ; h=@(x)[-log10(x(1))10pl-A]; for f : x1: new distance = old distance + velocity x2: velocity = difference(old distance, new distance) x3: old distance h is simply a given transformation from distance to radio singal strength I cannot find any reason for the poor performance as it should be the best filter for this kind of application. Am I missing some important issues ?	Comment only
23 Jun 2009	Learning the Unscented Kalman Filter An implementation of Unscented Kalman Filter for nonlinear state estimation.	Peter Schenkel	sorry...ekf should be ukf in the previous posting	Comment only
21 Jun 2009	Learning the Unscented Kalman Filter An implementation of Unscented Kalman Filter for nonlinear state estimation.	Yi Cao	Peter, This means the iteration of ukf is unstable. You have to adjust P, Q, etc to make it stable. Yi	Comment only

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