Kashyap, SK (2003) Automated process noise covariance computation. Technical Report. National Aerospace Laboratories, Bangalore, India.
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Abstract
The tuning of kalman filter for better tracking performance is a key issue addressed in this report. Process noise covariance Q is computed using numerical optimization technique known as downhill simplex, which minimises the cost function of state error. The technique is validated with simulated data(linear and non-linear) and also with real data.
| Item Type: | Proj.Doc/Technical Report (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Downhill simplex;Kalman filter |
| Subjects: | AERONAUTICS > Aerodynamics |
| Division/Department: | Flight Mechanics and Control Division |
| Depositing User: | Mr. N A |
| Date Deposited: | 30 Jun 2006 |
| Last Modified: | 24 May 2010 09:42 |
| URI: | http://nal-ir.nal.res.in/id/eprint/1618 |
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