TY - GEN
T1 - WiVir
T2 - 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025
AU - Wang, Qitong
AU - Wang, He
AU - Huang, Leilei
AU - Shi, Chunqi
AU - Chen, Jinghong
AU - Zhang, Runxi
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - WiFi passive positioning enables precise target tracking without additional devices, offering a cost-effective solution for elder care, security, and smart homes. However, it faces challenges such as distinguishing stationary humans from static objects and limited angular resolution due to existing hardware constraints. In this paper, we present WiVir, a virtual antenna array system based on commodity WiFi device for passive localization of stationary humans. The system addresses the challenges of channel state information (CSI) measurement errors and innovatively applies the concept of virtual antenna array (VAA) in WiFi-MIMO modes. It overcomes the limitation of the number of antennas in commercial WiFi Network Interface Controller (NIC) and significantly reduces the beam width of beamforming. Beamforming is used to obtain the angle of arrival (AOA), and the beam is analyzed in the frequency domain to generate a two-dimensional angular frequency image. Experimental results show that WiVir achieves 98.4% accuracy and strong robustness in indoor environments, providing precise positioning within a certain angle range.
AB - WiFi passive positioning enables precise target tracking without additional devices, offering a cost-effective solution for elder care, security, and smart homes. However, it faces challenges such as distinguishing stationary humans from static objects and limited angular resolution due to existing hardware constraints. In this paper, we present WiVir, a virtual antenna array system based on commodity WiFi device for passive localization of stationary humans. The system addresses the challenges of channel state information (CSI) measurement errors and innovatively applies the concept of virtual antenna array (VAA) in WiFi-MIMO modes. It overcomes the limitation of the number of antennas in commercial WiFi Network Interface Controller (NIC) and significantly reduces the beam width of beamforming. Beamforming is used to obtain the angle of arrival (AOA), and the beam is analyzed in the frequency domain to generate a two-dimensional angular frequency image. Experimental results show that WiVir achieves 98.4% accuracy and strong robustness in indoor environments, providing precise positioning within a certain angle range.
KW - Beamforming
KW - Passive Localization
KW - Phase calibration
KW - Virtual Antenna Array
KW - WiFi-MIMO
UR - https://www.scopus.com/pages/publications/105010594884
U2 - 10.1109/ISCAS56072.2025.11043246
DO - 10.1109/ISCAS56072.2025.11043246
M3 - 会议稿件
AN - SCOPUS:105010594884
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 May 2025 through 28 May 2025
ER -