The attitude determination with Global Positioning Systems (GPS) can be realized using predictive filter based on dual-difference carrier phase. Compared with single-difference, dual-difference carrier phase can impro...
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The attitude determination with Global Positioning Systems (GPS) can be realized using predictive filter based on dual-difference carrier phase. Compared with single-difference, dual-difference carrier phase can improve accuracy of attitude estimate. This algorithm is robust with respect to initial condition errors. It can converge to true attitude rapidly. The simulation show that attitude estimate based on this algorithm is almost similar to which based on nonlinear least-squares algorithm, and robust to initial condition errors. When three baselines are used, during the maneuver of vehicle, the baselines nearly orthogonal can estimate attitude better than other frames of baselines.
This paper focuses on applying the two-level optimal estimator to the problem of attitude determination using GPS. The derivations are based on the criteria of not only a traditional one using a set of positive scalar...
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This paper focuses on applying the two-level optimal estimator to the problem of attitude determination using GPS. The derivations are based on the criteria of not only a traditional one using a set of positive scalars as the weighted factors, but also one employing the inverse of covariance of measurements as the weighted matrix. It is shown that the configuration to formulate Wahba's problem as the criterion of the second level is numerically efficient. The solution of the two-level optimal estimator turns out to be optimal under the so-called balanced condition. The experiment results show the efficacy of the two-level optimal estimation method.
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