WLAN RSS Database for Fingerprinting Positioning in a Three-Floor Building

Two WLAN Received Signal Strength (RSS) databases for fingerprinting positioning, collected at Tampere University of Technology. The training radio map consists of 446 reference points and 489 access points, with test data collected along a path. Data is postprocessed onto regular grids with 5-meter and 1-meter spacing for training and test sets, respectively.

Use Cases

• Developing WiFi fingerprinting positioning algorithms based on the provided radio map and test RSS measurements.
• Testing the accuracy of indoor localization systems using the spatially averaged RSS values on a regular grid.
• Benchmarking new positioning methods against the provided data format, compatible with previously published analysis software.

Strengths

• Contains a structured radio map with 446 reference points and 489 unique access points.
• Includes both training and test datasets with corresponding 3D coordinate files.
• Data is postprocessed onto regular grids, providing spatial averages for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the test dataset is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Philipp Richter, Tampere University of Technology

Collection Method

Collected WLAN RSS measurements in a three-floor building, postprocessed onto regular grids.

Geography

A three-floor building at Tampere University of Technology.