A Multi-UAVs Cooperative Spectrum Sensing Method Based on Improved IDW Algorithm

With the development of spatial information networks, the perceptual allocation of spectrum resources has become a research hotspot. To solve the problems of low accuracy and efficiency in traditional single uav spectrum sensing, a multi-UAVs collaborative spectrum sensing method based on improved IDW algorithm is proposed in this paper. Firstly, a spectrum sensing model for collaborative exploration of multiple UAVs was constructed; Secondly, a spectral intensity cost factor is added to the cost function of UAV path planning, enabling UAVs to explore electromagnetic environment more efficiently; Finally, the accuracy of spectrum data completion is improved by combining IDW algorithm with propagation model. The simulation results show that the task completion time is reduced compared to current advanced path planning methods, and the accuracy of the completion algorithm is nearly 10dB higher than that of IDW and tensor completion methods, which has high practical value.