Title :
Estimation of tilt errors in multisensor systems
Author :
Cruz, E. J Dela ; Alouani, A.T. ; Blair, W.D. ; Rice, T.R.
Author_Institution :
Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
The authors consider the tilt error problem in a multisensor radar system using an arbitrary number of radars. Assuming that the sensors measurements are bias-free, or the bias has been removed, a measurement model of the tilt error is obtained by transforming each secondary sensor data to the primary sensor frame. Then an adaptive Kalman-filter-based technique is used to estimate the reference frame misalignment of each secondary sensor
Keywords :
Kalman filters; adaptive filters; array signal processing; measurement errors; radar systems; radar theory; adaptive Kalman-filter-based technique; bias-free measurements; measurement model; multisensor radar system; primary sensor frame; reference frame misalignment; secondary sensor data; tilt error problem; Coordinate measuring machines; Estimation error; Marine vehicles; Measurement errors; Multisensor systems; Noise measurement; Radar tracking; Rotation measurement; Sensor fusion; Target tracking;
Conference_Titel :
Southeastcon '92, Proceedings., IEEE
Conference_Location :
Birmingham, AL
Print_ISBN :
0-7803-0494-2
DOI :
10.1109/SECON.1992.202337
