Soft threshold wideband spectrum sensing algorithm based on enhanced gradient operator

Autor: GONG Kexian, FANG Jiale, LIU Honghua, SUN Peng, WANG Wei
Jazyk: čínština
Rok vydání: 2024
Předmět:
Zdroj: Tongxin xuebao, Vol 45, Pp 115-127 (2024)
Druh dokumentu: article
ISSN: 1000-436X
DOI: 10.11959/j.issn.1000-436x.2024096
Popis: In order to improve the amplitude loss of signal gradient features and seek the optimal scale of signal description, a soft threshold wideband spectrum sensing algorithm based on enhanced gradient operators was proposed. By introducing the gradient enhancement operator to restore the signal amplitude, combining the gradient characteristics of the signal itself, using different scales to describe the gradient increment of the signal, the soft threshold criterion was obtained. The scale fusion unit was further added, and the best scale of the description signal was obtained by using the joint judgment of hard threshold and soft threshold. Theoretical analysis and simulation results show that the detection probability and false alarm probability of the proposed algorithm are significantly improved and less complex than MPSG algorithm in Gaussian channel and Rayleigh fading channel. By comparing the detection effect of actual data, the proposed algorithm is more suitable for practical engineering.
Databáze: Directory of Open Access Journals