Interference source localization with high accuracy and time efficiency is of crucial importance for protecting spectrum resources.Due to the flexibility of unmanned aerial vehicles(UAVs),exploiting UAVs to locate the interference source has attracted intensive re-search interests.The off-the-shelf UAV-based interfer-ence source localization schemes locate the interference sources by employing the UAV to keep searching until it arrives at the target.This obviously degrades time effi-ciency of localization.To balance the accuracy and the ef-ficiency of searching and localization,this paper proposes a multi-UAV-based cooperative framework alone with its detailed scheme,where search and remote localization are iteratively performed with a swarm of UAVs.For search-ing,a low-complexity Q-learning algorithm is proposed to decide the direction of flight in every time interval for each UAV.In the following remote localization phase,a fast Fourier transformation based location prediction al-gorithm is proposed to estimate the location of the inter-ference source by fusing the searching result of different UAVs in different time intervals.Numerical results re-veal that in the proposed scheme outperforms the state-of-the-art schemes,in terms of the accuracy,the robust-ness and time efficiency of localization.
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