Sensing-Aided Communication Channel Estimation with Tensor-Based Moving Target Localization

In the integrated sensing and communication system, sensing functionalities are expected to benefit the communication instead of compromising its performance. In this paper, a sensing-aided communication channel estimation method is proposed, where the non-cooperative moving targets are localized and the associated propagation paths are excluded from the channel. Specifically, the received signal is formulated as a high-order tensor and then decomposed for channel parameter estimation. The parameters including velocity and angles of each path are automatically paired in the decomposed tensor factors, which enables identification of the high-velocity paths of moving targets. Then, by excluding the parameters of moving targets, a stable communication channel can be constructed. According to simulation, the proposed method contributes to enhanced data transmission performance while accurately localizing the moving targets.