RSSI-based indoor localization using antenna diversity and plausibility filter

Distance estimation by the evaluation of RSSI measurements is an easy method to predict the position of an unknown node. Therefore common and proven systems can be used for the infrastructure. For indoor environments the distance-pending path loss is affected by strong variations, especially appearing as frequency specific signal dropouts. A diversity concept with redundant data transmission in different frequency bands can reduce the dropout probability. When also space diversity and plausibility filtering are used, the location estimation error can be reduced significantly. The investigations show that a good performance for precision and availability can also be reached with low infrastructural costs.