认知无线电网络中基于SNR估计的能量检测在USRP和GNU Radio上的实现
Implementation of SNR estimation based Energy Detection on USRP and GNU Radio for Cognitive Radio Networks
摘要：
智能频谱感知技术的发展是认知无线电系统设计中的一项重要任务，它可以有效地利用可用频谱。基于自适应SNR估计的能量检测技术具有通过以自适应和迭代的方式利用频谱的未充分利用来提高频谱使用效率以及减少硬件资源从而在多功能和多样化的认知无线电基础设施组上容易实现的双重益处。基于信噪比估计的自适应门限能量检测方法，可以成倍地提高认知无线电的频谱感知性能和效率，特别是在低信噪比和高噪声方差的情况下。该方法在USRP B200上实现，结果表明，与传统的能量检测技术相比，主用户的检测率有显着提高。
英文摘要：
Development of smart spectrum sensing techniques is the most important task in the design of a cognitive radio system which uses the available spectrum efficiently. The adaptive SNR estimation based energy detection technique has the dual benefit of improving the efficiency of spectrum usage by capitalizing on the underutilization of the spectrum in an adaptive and iterative fashion, as well as reducing the hardware resources leading to easy implementation on a versatile and diverse group of cognitive radio infrastructures. The use of adaptive threshold for energy detection based on SNR estimation improves the spectrum sensing performance and efficiency of the cognitive radio by many folds, especially in low SNR as well as high noise variance situations. The proposed method is implemented on the USRP B200 and results show significant improvement in the detection rate of primary users as compared to conventional energy detection techniques.
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