Spectrum sensing technology can optimize the use of spectrum resources,improve communication quality and realize intelligent wireless networks,and can effectively alleviate the contradiction between the demand for high-speed,high-quality wireless connections in mobile communications and the Internet of Things and limited spectrum resources.In view of this,the traditional spectrum sensing techniques are reviewed;spectrum sensing detection methods based on deep learning are summarized,and the advantages and disadvantages of these methods are analyzed in depth;the technologies that combine Intelligent Reflecting Surface(IRS)with spectrum sensing are sorted out;the current problems and future development trends of spectrum sensing detection technology are discussed.