Title :
Estimation of sensor bias in multisensor systems
Author :
Cruz, E. J Dela ; Alouani, A.T. ; Rice, T.R. ; Blair, W.D.
Author_Institution :
Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
An adaptive Kalman-filter-based technique to estimate and remove the sensor biases in a multiradar system is presented. The measurement model is based on the Taylor series approximation of the exact model and it incorporates range bias, bearing bias, and elevation bias. The technique was implemented using target tracks. The simulation results are presented. It was found that this technique gives accurate estimates of the sensor biases when given a reasonable model of the bias dynamics
Keywords :
Kalman filters; adaptive filters; array signal processing; radar systems; radar theory; Kalman-filter-based technique; Taylor series approximation; bearing bias; bias dynamics; multiradar system; range bias; sensor bias estimation; target tracks; Control systems; Coordinate measuring machines; Multisensor systems; Radar tracking; Rotation measurement; Sensor fusion; Sensor systems; Target tracking; Uncertainty; Weapons;
Conference_Titel :
Southeastcon '92, Proceedings., IEEE
Conference_Location :
Birmingham, AL
Print_ISBN :
0-7803-0494-2
DOI :
10.1109/SECON.1992.202338