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Dynamic Threshold Cooperative Sensing Method Based on SNR

Jianwu Zhang

Open publisher page 1 citations

Abstract

In cooperative frequency spectrum sensing,signal detection for single user will influence united detection performance a lot because of different environment.Aiming at the problem,according to the Signal-to-noise Ratio(SNR) of cognitive node,this paper proposes a new cooperative sensing method,which can dynamically adjust threshold.Simulation results illustrate that in the same false alarm probability,the method can significantly improve the united detection probability and reliability of frequency spectrum detection.

About this research paper

What this paper is about

In cooperative frequency spectrum sensing,signal detection for single user will influence united detection performance a lot because of different environment.Aiming at the problem,according to the Signal-to-noise Ratio(SNR) of cognitive node,this paper proposes a new cooperative sensing method,which can dynamically adjust threshold.Simulation results illustrate that in the same false alarm probability,the method can significantly improve the united detection probability and reliability of frequency spectrum detection.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In cooperative frequency spectrum sensing,signal detection for single user will influence united detection performance a lot because of different environment.Aiming at the problem,according to the Signal-to-noise Ratio(SNR) of cognitive node,this paper proposes a new cooperative sensing method,which can dynamically adjust threshold.Simulation results illustrate that in the same false alarm probability,the method can significantly improve the united detection probability and reliability of frequency spectrum detection.

Key concepts: Computer science, False alarm, Cognitive radio, Statistical power, Reliability (semiconductor), Node (physics), Signal-to-noise ratio (imaging), Detection theory

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