  Unmanned aerial vehicles (UAVs) are well-suited to localize jammers,
particularly when jammers are at non-terrestrial locations, where conventional
detection methods face challenges. In this work we propose a novel localization
method, sample pruning gradient descend (SPGD), which offers robust performance
against multiple power-modulated jammers with low computational complexity.
