A new method for airborne vector gravimetry using GPS/INS has been develope
d and the results are presented. The new algorithm uses kinematic accelerat
ions as updates instead of positions or velocities, and all calculations ar
e performed in the inertial frame. Therefore, it is conceptually simpler, e
asier, more straightforward and computationally less expensive compared to
the traditional approach in which the complex navigation equations should b
e integrated. Moreover, it is a unified approach for determining all three
vector components, and no stochastic gravity modeling is required. This app
roach is based on analyzing the residuals from the Kalman filter of sensor
errors, and further processing with wavenumber coefficient filterings is ap
plied in case closely parallel tracks of data are available. An application
to actual test-flight data is performed to test the validity of the new al
gorithm. The results yield an accuracy in the down component of about 3-4 m
Gal. Also, comparable results are obtained for the horizontal components wi
th accuracies of about 6 mGal. The gravity modeling issue is discussed and
alternative methods are presented, none of which improves on the original a
pproach.