Spectrum Sensing in a Non-Reconfigurable Framework
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Beschreibung
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.
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.
Overcomes the noise uncertainty and improve the performance of the algorithm at low signal-to-noise ratio Explores the potential advantages of cognitive MIMO Uses the non-asymptotic random matrix theory to reduce the dependence of spectrum sensing on prior information
Autor*in
Yulong Gao
Themen in »Spectrum Sensing in a Non-Reconfigurable Framework«
Non-reconfigurable spectrum awareness Spectrum awareness Sparse representation Joint dictionary training algorithm Single-antenna environment Multi-antenna scenarios Federated refactoring MIMO multi-signal Non-asymptotic random matrix theory MIMO spectrum-aware algorithms