@article{michalak2024location,
  title = {Location Accuracy of Terrestrial Radio Sources as a Function of the Increasing Number of Received Signal Strength Indicator (RSSI) Measurements Performed by a Simple Unmanned Aerial Vehicle (UAV)},
  author = {Jaroslaw Michalak},
  year = 2024,
  url = {https://ibimapublishing.com/articles/CIBIMA/2024/388963/},
  journal = {Communications of the IBIMA},
  volume = 2024,
  pages = 11,
  doi = 10.5171/2024.388963,
  abstract = {The widespread use of Unmanned Aerial Vehicles (UAVs) opens up new possibilities for locating radio radiation sources. The moving, simple UAV can quickly collect a significant number of signal measurements taken at different locations ensuring a high economic efficiency and organizational flexibility. The article makes a comparative assessment of the source localization accuracy as a function of the increasing number of measurements for several location methods on the 2D plane. Simulation studies were carried out for the Rice Channel, various UAV routes and location algorithms such as: Min-Max, Trilateration, Least Squares Method, Nonlinear Regression. It is observed that the use of Kalman filtration is effective for a small number of Reference Points (almost 10-fold reduction in location errors). With a large number of Reference Points, you can expect location accuracy up to ab. 2% of the maximum distance of the Reference Point from the source. In the simulation conditions, the most promising location method is the method using the non-linear regression function.},
  keywords = {UAV, Rice, Location, Kalman.},
  note = Article ID: 388963
}