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| 基于门限动态调整的最优协作检测方法 | |
| 引用本文： | 谢怀忠,易辉跃,胡艳军,胡宏林. 基于门限动态调整的最优协作检测方法[J]. 计算机工程, 2012, 38(7): 83-86 |
| 作者姓名： | 谢怀忠 易辉跃 胡艳军 胡宏林 |
| 作者单位： | 1. 安徽大学计算智能与信号处理教育部重点实验室,合肥230039;上海无线通信研究中心,上海200335;中国科学院无线传感网与通信重点实验室,上海200335 2. 上海无线通信研究中心,上海200335;中国科学院无线传感网与通信重点实验室,上海200335 3. 安徽大学计算智能与信号处理教育部重点实验室,合肥,230039 |
| 基金项目： | 国家自然科学基金资助项目(61002017,61072076);国家科技重大专项基金资助项目(2012ZX03003006-003,2010ZX03005-001);中芬国际科技合作基金资助项目(2010DFB10570);上海市自然科学基金资助项目(10ZR1429200);上海市科委基金资助重大项目(10JC1414400,10DJ1400302); |
| 摘 要： | 为提高协作频谱感知的检测效率、减少系统的反馈开销，提出一种基于门限动态调整的最优协作检测方法。在单节点检测错误概率最小的情况下，导出能量检测中门限值与信噪比的关系表达式，利用二分法求得不同信噪比下的动态门限值。根据系统恒虚警率和恒检测率计算最优协作用户数，并与动态门限值相结合得到系统检测错误概率。仿真结果表明，该方法协作检测概率较高，检测错误概率较低。 |
| 关 键 词： | 认知无线电 恒虚警率 恒检测率 协作频谱感知 融合中心 |
| 收稿时间： | 2011-08-19 |
Optimal Cooperative Detection Method Based on Threshold Dynamic Adjustment |
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| XIE Huai-zhong , YI Hui-yue , HU Yan-jun , HU Hong-lin. Optimal Cooperative Detection Method Based on Threshold Dynamic Adjustment[J]. Computer Engineering, 2012, 38(7): 83-86 | |
| Authors: | XIE Huai-zhong YI Hui-yue HU Yan-jun HU Hong-lin |
| Affiliation: | 2,3(1.Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education,Anhui University,Hefei 230039,China;2.Shanghai Research Center for Wireless Communications,Shanghai 200335,China;3.Key Laboratory of Wireless Sensor Network & Communication,Chinese Academy of Sciences,Shanghai 200335,China) |
| Abstract: | In order to improve the cooperative spectrum sensing efficiency and reduce feedback overhead of the system,this paper proposes an optimal cooperative spectrum detection method with dynamic threshold adjustment.Based on the minimum detection error probability of a single sensing node,the expression between the threshold and the Signal Noise Ratio(SNR) is derived under the energy detection,and dynamic threshold under different channel environments is obtained by using dichotomy method.The number of optimal sensing nodes is obtained according to the constant detection rate and constant false alarm rate,and the system detection error probability is obtained by combining the optimal number of sensing nodes with the adaptive threshold.Simulation result shows that the proposed method can improve the detection probability and reduce the detection error probability. |
| Keywords: | Cognitive Radio(CR) constant false alarm rate constant detection rate cooperative spectrum sensing fusion center |
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