Spectrum Sensing in a Non-Reconfigurable Framework

Gao, Yulong/ Ma, Yongkui/ Chen, Yanping (TRN)

Springer Nature（2026/07発売）

• 製本 Hardcover:ハードカバー版／ページ数 292 p.
• 言語 ENG
• 商品コード 9789819201518

Full Description

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.

Contents

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.