A Robust Tensor-Based Receiver for Joint Channel Estimation and Symbol Detection in UAV Assisted Communication Systems

In this paper, for unmanned aerial vehicle (UAV) assisted communication systems, we propose a robust tensor-based receiver for joint channel estimation and symbol detection. Firstly, at the source node (SN), the proposed receiver adopts a superposition transmitting scheme for information symbol and pilot signal. Then, the UAV amplifies and forwards the received signals to the destination node (DN), and the signals received at DN are constructed to a fourth-order tensor model. Finally, a robust algorithm is developed to fitting the constructed tensor model for joint channel estimation and symbol detection. The proposed receiver can effectively estimate channels and detect symbols. Compared with the existing receivers, our receiver has better performance of channel estimation and symbol detection.