In recent years, decimeter-level accuracy in WiFi indoor localization has become attainable
within controlled environments. However, existing methods encounter challenges in …

Millimeter-wave (mmWave) radar has been widely used in wireless sensing due to its non-
contact nature, privacy preservation, and immunity to adverse lighting conditions. However …

WiFi-based respiration sensing technology has gained increasing attention due to its
contactless sensing capabilities and utilization of existing WiFi devices. However, existing …

Interference mitigation for automotive radar is becoming increasingly important due to its
increasing popularity in automobiles. In this paper, we tackle this problem and propose two …

Toxic gases inhalation is the most common cause of death in fire scenes, which can make
people unconscious and unable to save themselves. Hence, discovering the unconscious …

Location awareness is crucial for numerous emerging wireless indoor applications. Deep
learning algorithms have demonstrated the potential for achieving the required level of …

Millimeter-wave (mmWave) radar has gained increasing attention in environmental
perception due to its robustness under low-light conditions. However, existing methods fail …

With the rapid development of fully automatic operation (FAO) and location-based services,
the evaluation criteria of average localization accuracy can no longer meet our demands, in …

The deployment of large-scale arrays in millimeter-wave (mmWave) multiple-input multiple-
output (MIMO) systems has enabled highly accurate localization by reaping the benefits of …

The mutual interference mitigation between identical or similar radar systems in autonomous
driving has gained wide spread attention from both academia and industry. The resulted …