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Improved semi-blind spectrum sensing for cognitive radio with locally optimum detection

机译：改进的用于认知无线电的半盲频谱感测和局部最优检测

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摘要

In cognitive radio, there might be some information about primary users' signals available at secondary users' receivers since communications systems usually employ training signals for channel estimation and synchronization purposes. This training information can be exploited along with data symbols to perform semi-blind detection of primary users' signals. In the literature, it is considered that the locally optimal semi-blind detection metric is the linear combination of the energy detector (ED) and the matched filter, i.e. the hybrid detector. Locally optimum detection (LOD), known to be optimum in the low signal-to-noise ratio, is proposed here in the design of a weighted semi-blind locally optimum detector (WSBLOD) by focusing on linear modulation in presence of an unknown phase shift and additive white Gaussian noise. By using LOD, it is shown that for binary phase shift keying-modulated signals, the semi-blind detector test statistic consists not only in combining linearly the matched filter and the ED but also the pseudo-energy of the received signal. Then, the designed semi-blind detector is improved by optimising the weights of the matched filter, energy and pseudo-energy in the test statistic, which maximises the probability of detection. Simulation results show that the proposed WSBLOD outperforms the hybrid detector.
机译：在认知无线电中，由于通信系统通常出于信道估计和同步目的而采用训练信号，因此在次要用户的接收器上可能会有一些有关主要用户信号的信息。可以利用该训练信息以及数据符号来对主要用户的信号执行半盲检测。在文献中，认为局部最优的半盲检测度量是能量检测器（ED）和匹配滤波器即混合检测器的线性组合。本文在加权半盲局部最优检测器（WSBLOD）的设计中提出了已知在低信噪比方面处于最佳状态的局部最优检测（LOD），该方法着眼于未知相位的存在下的线性调制偏移和加性高斯白噪声。通过使用LOD，表明对于二进制相移键控调制信号，半盲检测器测试统计不仅包括线性组合匹配滤波器和ED，还包括接收信号的伪能量。然后，通过优化测试统计量中匹配滤波器的权重，能量和伪能量来改进设计的半盲检测器，从而最大程度地提高了检测的概率。仿真结果表明，所提出的WSBLOD优于混合检测器。

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