In recent years, the rapid development of wireless sensing technology has given birth to a lot of cutting-edge development achievements, which indicates that wireless signal has great potential in human vital signs monitoring. This paper reviews the current state-of-the-art methods and literature on the use of wireless sensing for vital sign monitoring. This work aims to fill a gap in this aspect of research and provide researchers in related fields with reference and inspiration, systematically summarize the principles and signal processing methods of various wireless signals including WiFi, mmWave and hybrid signals, and discuss the gap between typical approaches and actual industrial production. The research also reveals that the applicable domains of three wireless signals differ significantly, which provides valuable insights for product industrialization, and further confirms the feasibility of combining wireless sensing technology with deep learning based on the SenseFi dataset, highlighting a promising future development of wireless sensing.