Double-threshold cooperative detection for cognitive radio based on weighing

Xin Liu, Chengwen Zhang, Xuezhi Tan
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引用次数: 18

Abstract

In cognitive radio (CR), single-threshold detection is sensitive to the noise power. In this paper, a cooperative detection algorithm with double-threshold and energy statistic weighing is proposed in order to improve sensing performance of the global detection at the coordinator. Two thresholds which are decided by the restriction probability are adopted to improve the performance of the cooperative detection, and energy combining based on weighing is used to improve the performance of the detection in confusion area. Simulation shows that the proposed scheme outperforms cooperative detection with single-threshold and single detection with single-threshold in detection accuracy.
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基于加权的认知无线电双阈值协同检测
在认知无线电(CR)中,单阈值检测对噪声功率敏感。为了提高协调器全局检测的感知性能,提出了一种双阈值和能量统计加权的协同检测算法。采用由约束概率决定的两个阈值来提高协同检测的性能,采用基于加权的能量组合来提高混淆区域的检测性能。仿真结果表明,该方案在检测精度上优于单阈值协同检测和单阈值单独检测。
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