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A Blind Likelihood-Based Approach for OFDM Spectrum Sensing in the Presence of I/Q Imbalance

机译:在I / Q失衡的情况下基于盲似然的OFDM频谱感知方法

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We investigate the spectrum sensing problem in orthogonal frequency-division multiplexing-based cognitive radio networks under I/Q imbalance. We start by deriving the likelihood ratio test in the presence of I/Q imbalance at the analog front-ends of both the primary and secondary users. In addition, we derive closed-form expressions for the probabilities of detection and false alarm and the receiver operating characteristics and examine their dependence on both transmit and receive I/Q imbalance levels. Furthermore, we compare the performance of the likelihood ratio test with that of the energy detector and demonstrate the superiority of the former over the latter. Next, we generalize our analysis to the blind case where we derive simple closed-form expressions for the generalized likelihood ratio test and its false alarm probability as a function of the received signal only, i.e. without requiring any knowledge of the primary-to-secondary channel response, noise statistics, or I/Q imbalance parameters. Our results demonstrate that the correlation properties of the primary user's signal induced by transmit I/Q imbalance are signal features that can be exploited in a blind fashion at the secondary user to enhance the detection probability significantly compared to the conventional energy detector.
机译:我们研究I / Q不平衡下基于正交频分复用的认知无线电网络中的频谱感知问题。我们首先在主要和次要用户的模拟前端都存在I / Q不平衡的情况下,得出似然比测试。此外,我们针对检测和错误警报的概率以及接收器的工作特性导出了封闭形式的表达式,并检查了它们对发送和接收I / Q不平衡级别的依赖性。此外,我们将似然比测试的性能与能量检测器的性能进行了比较,并证明了前者优于后者。接下来,我们将分析推广到盲态情况,在这种情况下,我们仅针对接收的信号得出广义似然比测试的简单封闭式表达式及其虚警概率,即无需了解任何主要到次要知识通道响应,噪声统计信息或I / Q不平衡参数。我们的结果表明,与传统的能量检测器相比,由传输I / Q不平衡引起的主要用户信号的相关属性是可以在次要用户处以盲目方式利用以显着提高检测概率的信号特征。

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