Positioning Database Computing Method for Wireless Signal Accuracy

The patent applies preliminary action by pre-classifying and pre-clustering collected positioning data before integration. The system预先 categorizes data by base station or access point and clusters it by collection position, so that when new data arrives, it can be directly merged into the appropriate pre-organized categories without requiring a complete database rebuild, thus reducing processing time while maintaining accuracy.

The patent segments the positioning database into multiple categories based on base station or access point identifiers, and further divides each category into clusters by collection position. This segmentation allows the system to update only specific segments with new data rather than reconstructing the entire database, significantly reducing processing time while preserving overall database accuracy.

The patent applies partial action by collecting data only at strategic locations such as road centers where vehicles naturally pass, rather than attempting comprehensive coverage in all areas. The system uses this partial data collection combined with prediction algorithms to infer signal strength in unvisited areas, achieving sufficient database completeness without the time and cost of exhaustive data collection.

The system uses vehicle-based data collection where the vehicle's own movement and positioning systems serve the dual purpose of navigation and database construction. The vehicle's GPS trajectory and received signal strength measurements are automatically recorded and processed, eliminating the need for dedicated manual surveying operations and reducing data collection time.