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Affordable Vehicle Avionics (AVA): Novel Extended Kalman Filter to integrate sampled GPS position and velocity data with low-cost but inherently noisy, high-drift COTS inertial measurement unit (IMU)

Completed TRL 5 (started at 3, targeting 7)

Description

Novel Extended Kalman Filter to integrate sampled GPS position and velocity data with low-cost but inherently noisy, high-drift COTS inertial measurement unit (IMU) real-time sensors for low cost GN&C during launcher ascent.

Benefits

Novel Extended Kalman Filter integrates sampled GPS position and velocity data with low-cost but inherently noisy, high-drift COTS inertial measurement unit (IMU) real-time sensors for low cost GN&C during launcher ascent.

Enables very low-cost but high-performance nano-launch vehicles.

Details

Technology areaGN&C > Attitude Estimation Technologies > Attitude Estimation Sensors
ProgramGame Changing Development (GCD)
Lead organizationAmes Research Center, Moffett Field, CA
Start date2013-10-01
End date2016-09-01

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