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Kinematic GPS batch processing, improving ambiguity fixing performances

Roggero M.

Reports on Geodesy

2006

z. 2/77

227-234

In kinematic observation processing the equivalence between the state space approach (Kalman filtering plus smmothing) and the last squares approach including dynamic has been shown (Albertellat al. 2006). we have specialized the proposed batch solution (least squares including dynamic), considering the case of discrete-time linear systems with constant biases, applying the algorithm to estimate the float ambiguities and their variance-covariance matrix in GPS observations (Roggero, 2006). The improvements in ambiguity fixing performances will be shown, through the ADOP, the dimension of the search space and the success rate.

Kinematic GPS batch processing, a constrained solution applied to antenna array

Roggero M., Roggero M.

Reports on Geodesy

2006

z. 2/77

235-240

Kinematic GPS observation processing requires robustness, especially in noisy environments. Ambiguity resolution robustness can be improved with multi base approach and parameters constraining. We consider a discrete-time linear systems with known dynamics, produced by a GPS antenna array mounted on a vehicle. Simulated and real data examples are given, where both system dynamics and geometric constraints strengthen ambiguities fixing. The developed algorithm works in a multi-base approach with the simplifying hypothesis of short baselines.