- Minimal fingerprint;
- Extended fingerprint;
- Synthetic probability;
The fingerprinting is a conventional algorithm for WiFi positioning, which calculates differences between WiFi signal levels in map points and current user device's measurements, and selectes a point with minimal error. You can find more details in Wikipedia.
The probability method utilizes a wellknown Bayesian theorem for calculating probabilities to get current signal levels in map points, and selects a point with maximal probability. As the method implies, the more measurements have been taken during map creation (20 is the greatest allowed value so far), the better accuracy can provide this method. If you select a few scan number in settings (1 - 5) while preparing a map, the probability method will most likely fail afterwards. Once a map is created with a sufficient number of scans, the scan count setting is not so important for location itself.
In future more methods are planned to be added. As they will use more sophisticated algorithms, I think they will allow WiFiLine to improve location accuracy.
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