Indoor 3D Passive Target Tracking Based on WiFi

Recently, significant progress has been made in indoor passive tracking technology. However, existing studies mainly focus on 2D tracking or utilize a large number of devices to obtain 3D information of the target. In this paper, a indoor 3D passive tracking system based on data augmentation is proposed. We established a multidimensional parameter estimation model based on L array under the channel state information (CSI) power model. Then, according to the virtual path characteristics derived in the form of L array, a data augmentation algorithm based on phase symmetry is designed. Finally, the augmented parameters are used to implement 3D tracking. The experimental results show that when using a single link, the system has a median tracking error of 0.36 m in the 2 D plane and 0.51 m in the 3D space.