Eigenvalue-Based Multiple Antenna Spectrum Sensing: Higher Order Moments
Eigenvalue-Based Multiple Antenna Spectrum Sensing: Higher Order Moments
复制标题
DOI：
10.1109/twc.2016.2640299
复制
发表时间：
2017-02-01
影响因子：
10.4
通讯作者：
Khattab, Tamer
中科院分区：
文献类型：
--
作者：
Sedighi, Saeid;Taherpour, Abbas;Khattab, Tamer
研究了认知无线电（CR）网络中的多天线频谱感知问题。利用分离函数估计检验框架，利用样本协方差矩阵特征值的高阶矩，提出了两种新的基于不变常虚警率特征值的检测器。我们通过提供基于矩的检测器的统计分布近似，找到了所提出检测器的虚警和检测概率的封闭表达式。通过蒙特卡罗仿真验证了所得到的封闭表达式的准确性。此外，就渐近相对效率而言，我们将所提出的检测器的性能与它们的两个同类，即John和算术到几何平均（AGM）检测器的性能进行了比较。这种比较使我们能够证明我们提出的检测器在CR应用的典型信噪比范围内优于那些检测器。比较仿真结果也说明了所提出的探测器优于John和AGM探测器以及文献中给出的一些其他最先进的EVB算法。
The problem of multiple antenna spectrum sensing in cognitive radio (CR) networks is studied in this paper. We propose two new invariant constant false-alarm rate eigenvalue-based (EVB) detectors, using the higher order moments of the sample covariance matrix eigenvalues, by exploiting the separating function estimation test framework. We find closed-form expressions for the false-alarm and detection probabilities of the proposed detectors by providing moment-based approximations of their statistical distributions. The accuracy of the obtained closed-form expressions is validated by Monte Carlo simulations. In addition, we compare the performance of the proposed detectors with that of their two counterparts, i.e., John's and the arithmetic to geometric mean (AGM) detectors, in terms of the asymptotic relative efficiency. This comparison enables us to demonstrate the superiority of our proposed detectors over those detectors within the typical range of signal-to-noise ratio in CR application. The comparative simulation results also illustrate the superiority of the proposed detectors over John's and the AGM detectors as well as some other state-of-the-art EVB algorithms given in the literature.