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Evaluates navigation accuracy in star-limited conditions, indicating significant improvements with a new method.
The SINS/DVS integrated navigation can effectively correct velocity errors in SINS, while its navigation accuracy is affected by time-varying systematic errors inherent in DVS measurements and the geometric constraint of requiring at least three non-coplanar stars. To address these limitations, a novel SINS/DVS integrated navigation method using both conventional DVS and a newly constructed Cross-Directional Difference DVS (CDD-DVS) is proposed(referred to as SINS/CDD-DVS). The CDD-DVSmeasurementis formed by differencing DVS observations from two distinct directions within the same epoch, which simultaneously eliminates common-mode time-varying systematic biases and synthesizes avirtualvelocity constraint along a third observation direction using only two stars. Unlike traditional same-direction differencing, which suppresses useful motion signals along with errors, the proposed cross-directional strategy preserves essential vehicle motion information while effectively canceling correlated systematic biases. Simulation results demonstrate that the proposed SINS/CDD-DVS method reduces total position error by 45.2% compared to conventional SINS/DVS under star-limited conditions, confirming a significant improvement in navigation accuracy of the integrated navigation system.
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Yang et al. (2026) studied this question.
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