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The SINS/DVS-Integrated Navigation Based on Doppler Velocity of Star (DVS) and Cross-Directional Difference-DVS (CDD-DVS)
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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 noncoplanar 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). In this method, the CDD-DVS measurement is formed by differencing DVS observations from two distinct directions within the same epoch, which simultaneously eliminates common-mode time-varying systematic biases and synthesizes a virtual velocity constraint along a third observation direction using only two stars. Unlike traditional same-direction time 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.
World Scientific Pub Co Pte Ltd
Title: The SINS/DVS-Integrated Navigation Based on Doppler Velocity of Star (DVS) and Cross-Directional Difference-DVS (CDD-DVS)
Description:
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 noncoplanar 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).
In this method, the CDD-DVS measurement is formed by differencing DVS observations from two distinct directions within the same epoch, which simultaneously eliminates common-mode time-varying systematic biases and synthesizes a virtual velocity constraint along a third observation direction using only two stars.
Unlike traditional same-direction time 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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