A strapdown mechanization and associated Kalman filter are developed to provide both ground align and airstart capabilities for inertial navigation systems (INSs) using Doppler velocity and position fixes, while not requiring an initial heading estimate. Position update during coarse mode is possible by defining sine and cosine of wander angle as filter states and modeling the position error in geographic frame while integrating velocity in the wander frame. INS Global Positioning System (GPS) differential position due to GPS antenna moment arm can aid heading convergence during hover turns in helicopter applications. Azimuth error state in the fine mode of the filter is defined as wander angle error to provide continuous estimation of navigational states, as well as inertial/aiding sensor errors, across the coarse-to-fine mode transition. Though motivated by a tactical helicopter application, the design can be applied to other vehicles. Advantages over conventional systems in addition to the airstart capability include robustness and versatility in handling many different operational conditions.<<ETX>>
[1]
Donald Benson,et al.
A Comparison of Two Approaches to Pure-Inertial and Doppler-Inertial Error Analysis
,
1975,
IEEE Transactions on Aerospace and Electronic Systems.
[2]
Paul G Savage,et al.
Strapdown System Algorithms
,
1984
.
[3]
Kenneth R Britting,et al.
Inertial navigation systems analysis
,
1971
.
[4]
I. Y. Bar-Itzhack,et al.
Minimal order time sharing filters for INS in-flight alignment
,
1982
.
[5]
S. F. Schmidt,et al.
Case study of Kalman filtering in the C-5 aircraft navigation system
,
1968
.