DocumentCode
3067866
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
fYear
1992
fDate
12-15 Apr 1992
Firstpage
210
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '92, Proceedings., IEEE
Conference_Location
Birmingham, AL
Print_ISBN
0-7803-0494-2
Type
conf
DOI
10.1109/SECON.1992.202338
Filename
202338
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