Open AccessMultistage spectrum sensing scheme with SNR estimation
Author(s) -
Mu Junsheng,
Jing Xiaojun,
Xie Jianxiao,
Zhang Yangying
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5665
Subject(s) - detector , computer science , energy (signal processing) , blindness , algorithm , noise (video) , signal to noise ratio (imaging) , signal (programming language) , cognitive radio , spectrum (functional analysis) , covariance , electronic engineering , telecommunications , mathematics , statistics , physics , artificial intelligence , wireless , engineering , medicine , quantum mechanics , optometry , image (mathematics) , programming language
Multistage detection has inspired a heated debate due to its capacity to take full advantage of each detector. Motivated by this, an investigation into multistage spectrum sensing is conducted and a two‐stage spectrum detector is proposed based on energy detector and covariance absolute value (CAV) detector here. The two‐stage spectrum detector periodically determines which detector is appropriate for current radio environment according to the comparison between estimated SNR and SNR threshold provided here. The total blindness of CAV detector and available noise variance by SNR estimation scheme results in the blindness of the proposed detector to the characteristics of observed signal and noise. Simultaneously, the proposed scheme balances the sensing complexity and detection accuracy and provides higher practicability in consequence. Simulations validate the performance of the proposed method.