噪声不确定条件下dempster-shafer理论的协同能量检测

P. B. Gohain, S. Chaudhari
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引用次数: 4

摘要

协同频谱感知(CSS)是提高认知无线网络频谱感知性能的有效方案之一。本文提出了一种基于Dempster-Shafer理论的认知无线网络CSS。融合规则是D-S组合规则,以其处理不确定性的能力而闻名,并已被用于许多不同的领域。噪声的不确定性在实际应用中不可避免,严重限制了CSS的检测性能。本文特别研究了基于接收信号能量的检测方案中存在噪声功率不确定性的传感器节点,并利用DS理论最小化这种影响。仿真结果表明,与以往的传统方法相比,CSS增益有显著提高。
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Cooperative energy detection using dempster-shafer theory under noise uncertainties
Cooperative spectrum sensing (CSS) is one of the efficient scheme that helps in improving the spectrum sensing performance of a cognitive radio network. In this paper we propose a Dempster-Shafer theory (DST) based CSS for cognitive radio network. The fusion rule is the D-S combination rule which is well known for its ability to handle uncertainty and has been used in quite a different number of fields. Noise uncertainty, which is unavoidable in practical field, can gravely limit the detection performance of CSS. In this paper we specially investigate sensor nodes undergoing uncertainty in noise power when the detection scheme is based on energy of the received signal and use DS theory to minimize such effects. Simulation results reveal significant improvement in CSS gain as compared to previous traditional methods.
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