Unscented Kalman Filter Based Spatial-Temporal Registration Approach for Mobile Radar and ESM Sensors
- Authors
- Corporate Authors
- Defence R&D Canada - Ottawa, Ottawa ONT (CAN);Calgary Univ, Calgary Alta (CAN) Dept of Electrical and Computer Engineering
- Abstract
- Space and time alignments are prerequisites for the successful fusion of multiple sensors. In this report, a space-time registration model is proposed for estimating the system biases and performing time synchronization for mobile radar and electronic support measure (ESM) systems. A space-time registration model for radar and ESM sensors is first developed, and an unscented Kalman filter (UKF) is proposed to estimate the space-time biases and target states simultaneously. The posterior Cramer-Rao bounds (PCRBs) are derived for the proposed UKF registration algorithm for ESM detection probability less than or equal to one. Theoretical analysis is performed for evaluating the accuracy and robustness of the proposed algorithm. Computer simulations are used to demonstrate the effectiveness and robustness of the proposed algorithm under different radar and ESM tracking scenarios.
- Keywords
- ESM sensor;Registration;UKF (Unscented Kalman Filter);Detection and estimation;Mobile sensor;Sensor fusion
- Report Number
- DRDC-OTTAWA-TR-2003-219 — Technical Report
- Date of publication
- 01 Dec 2003
- Number of Pages
- 52
- DSTKIM No
- CA023533
- CANDIS No
- 520864
- Format(s):
- Hardcopy;Electronic Document(PDF)
Document 1 of 1
- Date modified: