  Localization of a target object has been performed conventionally using
multiple terrestrial reference nodes. This paradigm is recently shifted towards
utilization of unmanned aerial vehicles (UAVs) for locating target objects.
Since locating of a target using simultaneous multiple UAVs is costly and
impractical, achieving this task by utilizing single UAV becomes desirable.
Hence, in this paper, we propose an RSSI-based localization method that
utilizes only a single UAV. The proposed approach is based on clustering method
along with the Singular Value Decomposition (SVD). The performance of the
proposed method is verified by the experimental measurements collected by a UAV
that we have designed and computer simulations. The results show that the
proposed method can achieve location accuracy as low as 7m depending on the
number of iterations.
