Title :
Analysis of a cascaded INS calibration filter
Author :
Wade, Michael ; Grewal, Mohinder S.
Author_Institution :
Comput. Applications Software Technol., Los Alamitos, CA, USA
fDate :
29 Nov-2 Dec 1988
Abstract :
The authors address some critical issues associated with improving the system performance of integrated GPS (global positioning system) sand inertial systems. Emphasis is placed on the correlated data coming from a primary filter into a cascaded or secondary filter. A sophisticated Monte Carlo simulator was used to simulate the primary GPS system and a cascaded INS (inertial navigation system) calibration filter. The primary system is either an 11-state unaided or a 12-state inertially aided system. The cascaded filter is coupled with a gimbaled inertial system and is simulated in a 15-state configuration (position, velocity, tilts, gyro drifts, and accelerometer biases)
Keywords :
Monte Carlo methods; calibration; cascade networks; filters; inertial navigation; radionavigation; satellite relay systems; Monte Carlo simulator; cascaded INS calibration filter; inertial navigation system; integrated GPS sand inertial system; primary filter; secondary filter; Calibration; Covariance matrix; Equations; Global Positioning System; Kalman filters; Monte Carlo methods; Navigation; Noise measurement; Sensor phenomena and characterization; Time measurement;
Conference_Titel :
Position Location and Navigation Symposium, 1988. Record. Navigation into the 21st Century. IEEE PLANS '88., IEEE
Conference_Location :
Orlando, FL
DOI :
10.1109/PLANS.1988.195507