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Zhaoyu Li - IEEE Xplore Author Profile

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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 channe...Show More
With the difference of the target state, the power spectral density (PSD) distribution on the channel states information (CSI) time-frequency map is different. Therefore, this paper analyzes the time-frequency domain feature of CSI and proposes an indoor through-the-wall (TTW) passive object detection algorithm based on graph convolutional network (GCN). The experimental results show that the algo...Show More
Previous ranging or localization systems achieve an accurate time of flight (TOF) estimation based on strict time synchronization between transmitter and receiver, which is difficult to realize in a practical communication system. To tackle this problem, we propose a phase error elimination method to achieve accurate ranging in an asynchronous manner. We implement the proposed method using a softw...Show More
Aiming at the requirement of real-time positioning due to high computational complexity in Wi-Fi indoor positioning technology, a joint Doppler Frequency Shift (DFS), angle of arrival (AoA) and time of flight (ToF) estimation based on improved matrix pencil method is proposed. First, the data matrix containing doppler velocity, angle and delay parameter information is obtained. Then, the proposed ...Show More
Under a through-the-wall (TTW) scenario, existing passive moving target detection algorithms based on Wi-Fi signal could not clearly distinguish the number of targets as transceivers are placed on the same side of a wall. In order to address the above problem, a novel detection algorithm is proposed based on channel states information (CSI) reconstruction. We first correct phase errors, and then e...Show More
At present, most of the indoor localization methods are based on Line-of-Sight (LoS) propagation path. However, Non-Line-of-Sight (NLoS) propagation degrades those methods significantly, which happens frequently in indoor environments. In this paper, we present a multipath assisted indoor localization system with only a single receiver in NLoS environment. First, we use the 3D Recursively Applied ...Show More