Cooperative Spectrum Sensing Method by Dual Sequential Detection
Gao Ru
Abstract
Gao Ru
Abstract
To solve the problems of spectrum sensing with low signal-noise ratio(SNR)in cognitive radio sensor networks(CRSN),a cooperative spectrum sensing method by dual sequential detection(CSDS)is proposed,where the data in each sensor are processed in segments.A sequential probability ratio test(SPRT)is taken in each sensor,and a sensor sends cooperative messages to fusion center(FC)when the sum of logarithm likelihood ratio gets beyond the threshold.Then another SPRT is taken in FC until to make a decision.Performance analysis of the average sample number(ASN)and average sensing time(AST)are also carried out.Simulations based on Matlab validate the effectiveness of the method in the low SNR regime.ASN and AST of CSDS present below 40% of those by energy detection,and the cooperative overhead greatly decreases compared with other cooperative sequential detection.
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To solve the problems of spectrum sensing with low signal-noise ratio(SNR)in cognitive radio sensor networks(CRSN),a cooperative spectrum sensing method by dual sequential detection(CSDS)is proposed,where the data in each sensor are processed in segments.A sequential probability ratio test(SPRT)is taken in each sensor,and a sensor sends cooperative messages to fusion center(FC)when the sum of logarithm likelihood ratio gets beyond the threshold.Then another SPRT is taken in FC until to make a decision.Performance analysis of the average sample number(ASN)and average sensing time(AST)are also carried out.Simulations based on Matlab validate the effectiveness of the method in the low SNR regime.ASN and AST of CSDS present below 40% of those by energy detection,and the cooperative overhead greatly decreases compared with other cooperative sequential detection.
Key concepts: Fusion center, Sequential probability ratio test, Logarithm, Cognitive radio, Overhead (engineering), Computer science, Dual (grammatical number), Signal-to-noise ratio (imaging)