一种基于偏置跟踪算法的倾角传感器漂移消除方法
By employing a tilt sensor drift elimination method based on the bias tracking algorithm, utilizing a sliding window and temperature rise rate calculation, and combining an augmented Kalman filter, the noise variance and process variance are adjusted in real time, thus solving the temperature drift and disturbance problems of the tilt sensor and achieving high-precision pointing of the antenna during long-term missions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI TURN ELECTRONICS TECH
- Filing Date
- 2026-05-11
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, tilt sensors used in vehicle antennas suffer from inaccurate temperature drift compensation, susceptibility to disturbances, and slow convergence upon power-up, resulting in a decrease in pointing accuracy after prolonged use.
A tilt sensor drift elimination method based on bias tracking algorithm is adopted. The short-time standard deviation and temperature rise rate are calculated by sliding window, and combined with augmented Kalman filter, the observation noise variance and bias process variance are adjusted in real time to achieve adaptive estimation and correction of bias drift.
When the vehicle body moves and the temperature rises, the bias estimation strategy is adaptively adjusted to ensure that the tilt sensor output error remains within the leveling accuracy requirement range during the 4 to 8 hour mission period, thereby improving the stability and accuracy of the antenna pointing.
Smart Images
Figure CN122149534B_ABST