Evaluation of RSSI as a Non-visual Target Tracking Technique for Drone Applications

  • Christopher Lee
  • Sudhanshu Kumar SemwalEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1129)


Visual tracking algorithms for drone applications is a common technique for tracking and following targets. However, partial or full occlusion can cause visual trackers to lose its target or even begin following the wrong target. To combat this challenge, non-visual tracking algorithms can be used in parallel to provide more robust tracking in environments where line-of-sight cannot be guaranteed. In this study, a non-visual tracking technique using RSSI (Received Signal Strength Indicator) is evaluated for its suitability in drone applications. The study results show a RMS error of 1.17 ft. for the RSSI technique within a 10 foot radius in outdoors environments, which is an improvement over the current reported accuracy of GPS. However, interference from multipath fading in indoors settings remains a significant challenge for the RSSI technique, and modifications to the RSSI technique to mitigate multipath fading are proposed as future work.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of ColoradoColorado SpringsUSA

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