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A Sequential Cooperative Spectrum Sensing Algorithm Based on Dynamic Adaptive Double-threshold Energy Detection |
HUANG He YUAN Chaowei |
(School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China) |
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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.
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Received: 31 July 2017
Published: 29 January 2018
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Fund:The Science and Technology Project of State Grid Headquarters of China (SGLNDK00KJJS1700200) |
Corresponding Authors:
YUAN Chaowei
E-mail: yuancw2000@bupt.edu.cn
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