Analysis of suboptimal Kalman tracking algorithms
- Resource Type
- Conference
- Authors
- Farooq, M.; Rouhi, A.; Horsman, D.
- Source
- Proceedings of the 28th IEEE Conference on Decision and Control, Decision and Control, 1989., Proceedings of the 28th IEEE Conference on. :1417-1422 vol.2 1989
- Subject
- Robotics and Control Systems
Computing and Processing
Algorithm design and analysis
Kalman filters
Target tracking
Vectors
Military computing
Filtering algorithms
Noise measurement
Military standards
Steady-state
Covariance matrix
- Language
The standard Kalman filter has been applied extensively to the tracking of nonmaneuvering targets. Although the filter tracks such targets accurately, it creates a heavy computational burden. A study is made of several suboptimal Kalman filtering schemes which require less computational effort than the standard Kalman filter while yielding nearly optimal performance during both transient and steady-state filtering. It is shown by simulation results and by analysis that the suboptimal filters are viable alternatives to the standard Kalman filter.ETX