基于扩散模型的低空信道知识地图智能构建OA

The development of the low-altitude economy has spurred a variety of low-altitude applications,which results in increasing demands on sensing and communication capabilities in complex low-altitude environments.To address the above challenge,constructing low-altitude channel knowledge map(CKM)to provide wireless environment priors has become the key foundation for achieving sensing and communication in complex low-altitude environment.To this end,this paper proposes an intelligent construction method for low-altitude CKM based on diffusion models.The proposed method acquires three-dimensional(3D)channel knowledge priors by learning the joint distribution of channel knowledge at different altitudes and reconstructs the complete CKM from sparsely observed data through conditional sampling.Simulation results show that,compared with benchmark methods,the proposed approach achieves significant improvements in the accuracy of 3D CKM construction.