This book systematically summarizes the current research status of non reconfigurable spectrum sensing. Non -reconfigurable spectrum sensing algorithms were derived and performance simulations were conducted for different scenarios. The proposed non-reconfigurable spectrum sensing algorithm can reduce the amount of computational data, overcome noise uncertainty, and improve the performance of the algorithm under low signal-to-noise ratio. The research results of the monograph have high theoretical research significance and practical application value, providing strong technical support for the development and implementation of intelligent communication.
An overview of non-reconfigurable spectrum sensing and its basic
theory.- Spectrum sensing based on sparse representation and dictionary
training.- Energy-based spectrum sensing under non-reconfigurable framework.-
Optimization of measurement matrix in non-reconfigurable spectrum sensing
framework.- Eigenvalue-based Spectrum sensing in non-econstructive
framework.- Broadband spectrum sensing based on dynamic sampling in
non-reconfigurable framework.
Yulong Gao is now working as a Professor at the Harbin Institute of Technology. He also serves as the Deputy Director of the Academic Committee for Unmanned Surface Equipment of the China Shipbuilding Engineering Society, Deputy Director of the Internet of Things Committee of the Heilongjiang Computer Society. His research interests include intelligent signal processing and intelligent communication. Professor Gao is committed to applying artificial intelligence technology to the fields of communication and signal processing to improve the efficiency of spectrum utilization. He hosted national level projects such as the National Natural Science Foundation of China, National Major Model Projects, Civil Aerospace Technology Pre research Projects, and Aerospace Science and Technology Foundation Projects.
Yanping Chen is an Associate Professor at School of Computer and Information Engineering, Harbin University of Commerce. She obtained PhD degree in Computer Application from Harbin Engineering University in 2012. Research interests are cognitive networks, artificial intelligence and data mining ect.
