Title :
On multisensor track alignment
Author :
Cruz, E. J Dela ; Alouani, Ali T. ; Rice, T.R. ; Blair, W.D.
Author_Institution :
Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
The authors present an adaptive Kalman filtering technique to estimate and remove sensor biases and sensor frame tilt errors in multisensor systems. The approach first estimates and removes the sensor biases. The tilt errors are then estimated and removed using bias-free measurements. This technique is tested using simulated target tracks
Keywords :
Kalman filters; detectors; parameter estimation; tracking; adaptive Kalman filtering; multisensor systems; multisensor track alignment; sensor biases; sensor frame tilt errors; tilt errors; Adaptive filters; Equations; Filtering; Kalman filters; Multisensor systems; Noise measurement; Sensor systems; Surveillance; Target tracking; Testing; Uncertainty;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.370950
