IT-QEAS: An improved trilateration localization method through quality evaluation and adaptvie optimization selection strategy

Abstract

Wireless localization can provide position information for limitary, aerospace, emergency scheduling, rescue and relief work, fault diagnosis and many other related location-based services system in various application fields. Location information always supports critical decision-making of these application systems. So the localization accuracy is of great importance. As availability, low computation complexity, and low cost, trilateration localization method is applied in various systems. However, as there are numerous negative factors like non-line-of-sight measurement, complex multipath fading, which leads to high level localization error. To improve localization accuracy, an improved trilateration localization method is proposed, which is called improved trilateration localization method with distance estimation quality evaluation and anchor node adaptive selection (IT-QEAS). In this method, the qualities of distances estimation between unknown node and anchor nodes are evaluated, and the anchor nodes with higher quality distance estimation are selected adaptively to form trilateration localization equations, and finally, location result with high accuracy could be gained. The experimental result with actual localization data is shown that the proposed method can get higher localization accuracy with low computation complexity.