This article examines the observability of a modified loosely coupled global positioning system/inertial navigation system (GPS/INS) filter and analyzes the sideslip and attitude estimation capability of the filter. The modified filter is a loosely coupled integration which does not include a pitch rate gyro and which uses GPS course information as a measurement of heading when the vehicle is driving straight. Experimental tests are conducted which show that the modified filter has the same observability characteristics as a standard loosely coupled filter during turning events. The observability of a loosely coupled integration using only a four degree of freedom (DOF) inertial measurement unit (IMU) is also discussed and examined by experiment, as well as the sideslip and roll angle estimation performance. Finally, the error characteristics of the modified loosely coupled integration with the five DOF IMU when the filter is unobservable are studied. Monte Carlo simulations of long periods of straight driving with various sensor qualities are presented to show the worst case attitude errors when the filter is unobservable.

References

1.
Bae
,
H. S.
,
Ryu
,
J.
, and
Gerdes
,
J. C.
,
2001
, “
Road Grade and Vehicle Parameter Estimation for Longitudinal Control Using GPS
,”
Proceedings of the IEEE Conference on Intelligent Transportation Systems
.
2.
Bevly
,
D. M.
,
2004
, “
GPS: A Low-Cost Velocity Sensor for Correcting Inertial Sensor Errors on Ground Vehicles
,”
ASME J. Dyn. Syst., Meas., Control
,
126
, pp.
255
264
.10.1115/1.1766027
3.
Daily
,
R.
,
Travis
,
W.
, and
Bevly
,
D. M.
,
2007
, “
Cascaded Observers to Improve Lateral Vehicle State and Tire Parameter Estimates
,”
Int. J. Veh. Auton. Syst.
,
5
, pp.
230
255
.10.1504/IJVAS.2007.016403
4.
Dissanayake
,
G.
,
Sukkarieh
,
S.
,
Nebot
,
E.
, and
Durrant-Whyte
,
H.
,
2001
, “
The Aiding of a Low-Cost Strapdown Inertial Measurement Unit Using Vehicle Model Constraints for Land Vehicle Applications
,”
IEEE Trans. Rob. Autom.
,
17
(
5
), pp.
731
747
.10.1109/70.964672
5.
Godha
,
S.
, and
Cannon
,
M.
,
2005
, “
Integration of DGPS With a Low Cost MEMS Based Inertial Measurement Unit (IMU) for Land Vehicle Navigation Application
,”
Proceedings of the 18th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS05)
, pp.
333
345
.
6.
Ryan
,
J.
,
Lu
,
J.
, and
Bevly
,
D.
,
2010
, “
State Estimation for Vehicle Stability Control: A Kinematic Approach Using Only GPS and VSC Sensors
,”
Proceedings of the ASME 2010 Dynamic Systems and Control Conference
.
7.
Ryu
,
J.
,
Rossetter
,
E. J.
, and
Gerdes
,
J. C.
,
2002
, “
Vehicle Sideslip and Roll Parameter Estimation Using GPS
,”
Proceedings of the AVEC International Symposium on Advanced Vehicle Control
.
8.
Ryan
,
J.
,
2011
, “
A Fully Integrated Sensor Fusion Method Combining a Single Antenna GPS Unit With Electronic Stability Control Sensors
,” Master's thesis, Auburn University, Auburn, AL.
9.
Goshen-Meskin
,
D.
, and
Bar-Itzhack
,
I.
,
1992
, “
Observability Analysis of Piece-Wise Constant Systems. I. Theory
,”
IEEE Trans. Aerosp. Electron. Syst.
,
28
(
4
), pp.
1056
1067
.10.1109/7.165367
10.
Goshen-Meskin
,
D.
, and
Bar-Itzhack
,
I.
,
1992
, “
Observability Analysis of Piece-Wise Constant Systems. II. Application to Inertial Navigation In-flight Alignment [Military Applications]
,”
IEEE Trans. Aerosp. Electron. Syst.
,
28
(
4
), pp.
1068
1075
.10.1109/7.165368
11.
Hong
,
S.
,
Lee
,
M. H.
,
Chun
,
H.-H.
,
Kwon
,
S.-H.
, and
Speyer
,
J.
,
2005
, “
Observability of Error States in GPS/INS Integration
,”
IEEE Trans. Veh. Technol.
,
54
(
2
), pp.
731
743
.10.1109/TVT.2004.841540
12.
Rhee
,
I.
,
Abdel-Hafez
,
M. F.
, and
Speyer
,
J. L.
,
2004
, “
Observability of an Integrated GPS/INS During Maneuvers
,”
IEEE Trans. Aerosp. Electron. Syst.
,
40
(
2
), pp.
526
535
.10.1109/TAES.2004.1310002
13.
Gleason
,
S.
, and
Gebre-Egziabher
,
D.
, eds.,
2009
,
GNSS Applications and Methods
,
Artech House Publishers
,
Norwood, MA
.
14.
Groves
,
P.
, and
Corporation
,
E.
,
2008
, Principles of GNSS, inertial, and multisensor Integrated Navigation Systems, Artech House, Boston, MA.
15.
Stengel
,
R.
,
1994
,
Optimal Control and Estimation
,
Dover Publications
,
New York
.
16.
Wall
,
J.
,
2007
, “
A study of the effects of stochastic inertial sensor errors in dead-reckoning navigation
,” Master's thesis, Auburn University, Auburn, AL.
17.
MEMSense,
2010
, “
Micro IMU product specification user's guide
,” Technical Report No. PSD-0820, MEMSense, LLC.
18.
Crossbow Technology Inc.,
2011
, IMU 440 MEMS Inertial Measurement Unit Datasheet, Document No. 6020-0090-02 rev a (Online).
19.
Gebre-Egziabher
,
D.
,
2004
, “
Design and performance analysis of a low-cost aided dead reckoning navigator
”. Ph.D. thesis, Stanford University, Stanford, CA.
You do not currently have access to this content.