一种GNSS双天线测向自适应卫星筛选算法
By using a GNSS dual-antenna direction finding adaptive satellite selection algorithm, dynamically adjusting the elevation angle and carrier-to-noise ratio threshold, and combining multi-dimensional scoring and heading accuracy evaluation, the contradiction between satellite quality and quantity in complex environments of the GNSS dual-antenna direction finding system is resolved, achieving high-precision and continuous heading angle calculation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAMEN XINNUO TECH
- Filing Date
- 2025-07-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing GNSS dual-antenna direction finding systems struggle to balance the conflict between satellite quality and quantity in complex environments, resulting in limited direction finding accuracy and continuity. In particular, redundancy decreases in open scenarios, or insufficient satellite numbers lead to system failure in obstructed scenarios.
An adaptive satellite selection algorithm for GNSS dual-antenna direction finding is adopted. By constructing an environmental state vector, the elevation angle and carrier-to-noise ratio threshold are dynamically adjusted. Combined with a multi-dimensional satellite comprehensive scoring function and a heading accuracy evaluation function, the optimal set of satellites is selected. Furthermore, the ambiguity resolution is optimized by baseline length and condition number constraints, thereby improving the robustness and accuracy of the system.
It significantly improves the accuracy and stability of heading angle in complex environments, ensuring that the system continuously outputs high-precision heading information in different scenarios, reducing computational load and enhancing the system's adaptability and anti-interference capabilities.
Smart Images
Figure CN120630252B_ABST