A performance study of novel Sequential Energy Detection methods for spectrum sensing
A performance study of novel Sequential Energy Detection methods for spectrum sensing
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DOI：
10.1109/icassp.2010.5496100
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发表时间：
2010-03
期刊：
影响因子：
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通讯作者：
Nikhil Kundargi;A. Tewfik
中科院分区：
文献类型：
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作者：
Nikhil Kundargi;A. Tewfik
研究了认知无线电网络频谱感知环境下的顺序能量检测问题。我们设计了一种新型的顺序能量检测器，并对其性能进行了全面的研究。本文首次讨论了序列检验对主信号方差估计的敏感性问题。具体来说，我们开发了一种迭代混合贝叶斯方法来稳健地估计主信号方差。通过广泛的模拟证明，我们的顺序版本的能量检测器提供了2到6倍的吞吐量显著提高比固定样本量测试，同时保持等效的操作特性，通过检测和误报警的概率测量。我们的模拟还证明了通过使用新的方差估计器获得的增强的鲁棒性，该方差估计器平均只在10次迭代中收敛，并且在完全了解实际主信号方差的情况下提供在10%以内的性能。
We study the sequential energy detection problem in the context of spectrum sensing for cognitive radio networks. We formulate a novel Sequential Energy Detector and provide a comprehensive study of its performance. The sensitivity of the Sequential Test to primary signal variance estimation is addressed for the first time ever in this paper. Specifically, we develop an Iterative Hybrid Bayesian method to robustly estimate the primary signal variance. Through extensive simulations it is demonstrated that our Sequential version of the energy detector delivers a significant throughput improvement of 2 to 6 times over the fixed sample size test while maintaining equivalent operating characteristics as measured by the Probabilities of Detection and False Alarm. Our simulations also demonstrate the enhanced robustness gained via the use of the new Variance Estimator which converges in only 10 iterations on average and delivers a performance within 10% of that with perfect knowledge of the actual primary signal variance.