Target Tracking of Radar Seeker Based on Converted Measurement Kalman Filter
- Resource Type
- Conference
- Authors
- Wen, Shi; Zhengyang, Wang; Shiping, Zhou; Yunji, Li; Zhe, Hu
- Source
- 2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Information Communication and Signal Processing (ICICSP), 2020 IEEE 3rd International Conference on. :43-46 Sep, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Kalman filters
Target tracking
Radar tracking
Mathematical model
Measurement uncertainty
Estimation
Coordinate measuring machines
converted measurement Kalman filter
radar seeker
SIMU error
target tracking
- Language
For the requirement of sea-surface target tracking, based on CA motion model, the statistical distribution of the measurement deviation of radar seeker resulting from coordinate transformation and the prediction deviation caused by SIMU error was deduced in this paper. By removing such deviations in the measurement equation and the prediction equation in Kalman filter, the filter is able to converge correctly. Simulation results show the stable target tracking is achieved after a brief convergence by this method.