Over the past 15 years, the Global Positioning System (GPS) has made high accuracy vehicle navigation available for a wide variety of applications reducing the market for inertial navigation systems (INS). However, the need for more reliable navigation solutions coupled with advances in inertial navigation technology have started a resurgence in interest in inertial navigation, especially for integrated GPS/INS systems. By integrating these two navigation system technologies, we are able to capitalize on the strengths of both while minimizing their weaknesses.
Complementary Navigation Technologies
As seen in the table below, GPS and INS represent
complimentary navigation technologies.
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|
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| Self-contained
Provides accurate position and velocity over short time periods but slowly drifts over time More expensive and heavier than GPS |
Relies on GPS satellites:
susceptible to jamming, RF interference, multipath and integrity problems
Provides accurate position and velocity over longer time periods but has high frequency noise |
By combining the outputs of a GPS and an INS using an extended Kalman filter (EKF), the performance issues of both systems can be remedied. By adding GPS data to an INS, lighter and lower cost gyros and accelerometers can be used to obtain the same navigation performance as heavier and more expensive systems. By adding INS data to GPS, the GPS signal tracking loops can be tightened to better reject multipath and interfering signals and improve resistance to jamming. Also, the INS data allows the GPS to more quickly re-acquire the GPS satellites after a loss of lock on the signal.
Fundamental Concepts of Inertial Navigation
An INS uses the inertial properties of onboard sensors to determine a vehicle's position and velocity. This is accomplished by processing data obtained from specific force and angular velocity measurements.
All inertial navigation systems perform the following functions:
Measures
specific force, usually accomplished by the use of accelerometers.
Determines
the local gravity vector using a gravity model.
Integrates
the specific force data over time to obtain vehicle velocity and position,
accomplished by an onboard digital computer.
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where,
the inertially referenced acceleration vector of the vehicle
the specific
force vector measured in the navigation platform reference frame (measured
by accelerometers)
the direction
cosine matrix transforming a vector from the navigation platform to the
inertial reference frame (derived from gyro data)
gravitational
acceleration at the current location
Applications of Lightweight, Low Cost Integrated GPS/INS
Our research focuses on the use of lightweight, low cost inertial sensors including fiber optic and MEMS gyroscopes and MEMS accelerometers tightly integrated with GPS to provide accurate and reliable navigation solutions for the following types of applications:
International
Space Station (ISS). Relative navigation between an orbiting spacecraft
and the ISS during rendezvous and proximity operations. As spacecraft approach
the ISS from below, the GPS signals can be blocked by the large ISS structure.
The INS allows accurate navigation with less than four satellites, helps
reject multipath and aids the GPS in re-acquiring the GPS signals.
Spacecraft
Maneuver Estimation. When spacecraft perform orbital maneuvers, the
GPS receiver can lose lock on the GPS satellites. An integrated GPS/INS
navigation solution allows the effect of the thrusters to be measured and
calibrated, which improves the accuracy of future maneuvers.
Crew
Return Vehicle (CRV). There is about 12 minutes during re-entry when
the GPS signals cannot be received due to ionization. An integrated GPS/INS
enables accurate navigation during this ionization blackout.
Interplanetary
Navigation. Navigating on the surface of Mars will be accomplished
using a sparse constellation of satellites which will provide GPS-like
navigation data periodically. This data will be used to update inertial
navigation systems onboard various land vehicles on Mars.
Urban
Canyon Navigation. The GPS signals can be blocked by tall buildings
making GPS only navigation systems less effective in large urban cities.
Low cost inertial sensors will allow ground vehicles to navigate accurately
in these urban canyons.
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