A Sequential Cooperative Spectrum Sensing Algorithm Based on Dynamic Adaptive Double-threshold Energy Detection

HUANG He; YUAN Chaowei

doi:10.11999/JEIT170731

Volume 40 Issue 5

May 2018

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HUANG He, YUAN Chaowei. A Sequential Cooperative Spectrum Sensing Algorithm Based on Dynamic Adaptive Double-threshold Energy Detection[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1037-1043. doi: 10.11999/JEIT170731

Citation:

HUANG He, YUAN Chaowei. A Sequential Cooperative Spectrum Sensing Algorithm Based on Dynamic Adaptive Double-threshold Energy Detection[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1037-1043. doi: 10.11999/JEIT170731

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A Sequential Cooperative Spectrum Sensing Algorithm Based on Dynamic Adaptive Double-threshold Energy Detection

doi: 10.11999/JEIT170731

HUANG He¹,
YUAN Chaowei¹

Funds:

The Science and Technology Project of State Grid Headquarters of China (SGLNDK00KJJS1700200)

Received Date: 2017-07-31
Rev Recd Date: 2017-12-14
Publish Date: 2018-05-19

Abstract

Abstract

In order to overcome the problem of ignoring the sensing information between the two fixed thresholds for double-thresholds energy detection algorithm, the sequential cooperative sensing algorithm based on dynamic adaptive double-threshold energy detection is proposed. Since the soft decision between the two dynamic adaptive double thresholds is used for optimizing the probability of detection, it takes sequential cooperative sensing algorithm to model the adaptive double-threshold regions. Furthermore, the proposed algorithm can adaptively adjust the thresholds values and the number of collaborative users for each decision region to optimize the probability of detection and receiver operating characteristics curve. Simulation results show that the proposed algorithm has better performance for the detection capability, compared with other double thresholds sensing algorithms.
- Cognitive Radio (CR),
- Double-threshold energy detection,
- Dynamic adaptive algorithm,
- Cooperative spectrum sensing

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References(14)

References

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