The SINS/DVS Integrated Navigation Based on Doppler Velocity of Star (DVS) and Cross-Directional Difference-DVS (CDD-DVS)
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.
Authors
- Yuqing Yang (ORCID: https://orcid.org/0000-0003-4960-1483)
- Peiyan Zhang (ORCID: https://orcid.org/0000-0002-8691-1846)
- Ruonan Wang (ORCID: https://orcid.org/0000-0002-2866-9609)
- Hao Lifei
Institutions
- Twitter (United States) (US)
Publication Details
- Journal
- Unmanned Systems
- Published
- 2026-06-30
- DOI
- https://doi.org/10.1142/s2301385027410093
- Primary Topic
- Inertial Sensor and Navigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00