Abstract: A least squares geofence method that introduces inventive geofence steps and modifies existing geofence steps to minimize trigger misfires caused by data variability and location blunders and to minimize delayed/missed entry triggers generated under urban and/or indoor conditions. The least squares geofence method periodically retrieves sample locations for a target wireless device to determine that device's geographic location and to evaluate a corresponding side condition. Sample locations retrieved with accuracies greater than 1 km are filtered. If a potential change in side condition is detected for a given device, the least squares geofence method retrieves five fast location fixes for that device and evaluates a weighted least squares (LS) location estimate based on sample locations retrieved.

Abstract: A least squares geofence method that introduces inventive geofence steps and modifies existing geofence steps to minimize trigger misfires caused by data variability and location blunders and to minimize delayed/missed entry triggers generated under urban and/or indoor conditions. The least squares geofence method periodically retrieves sample locations for a target wireless device to determine that device's geographic location and to evaluate a corresponding side condition. Sample locations retrieved with accuracies greater than 1 km are filtered. If a potential change in side condition is detected for a given device, the least squares geofence method retrieves five fast location fixes for that device and evaluates a weighted least squares (LS) location estimate based on sample locations retrieved.