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Study on spectrum sensing algorithm of cyclostationary feature based on time aliasing in cognitive radio

机译:基于时间混叠的认知无线电循环平稳特征频谱感知算法研究

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In order to reduce the computational amount of the spectrum sensing algorithm and to improve the frequency resolution in congnitive radio, a spectrum sensing algorithm of cyclostationary feature based on time aliasing and smooth sinc window is proposed in this paper. Firstly, the basic steps of this spectrum sensing method are given carefully. Secondly, the performance of the algorithm are analysed from the aspects of computation complexity and bias error in spectrum domain by theoretical derivation. Finally, the simulation results are given to prove the effectivity of this spectrum sensing algorithm.
机译:为了减少频谱感知算法的计算量,提高认知无线电中的频率分辨率,提出了一种基于时间混叠和平滑sinc窗的循环平稳特征频谱感知算法。首先,仔细地给出了这种频谱感测方法的基本步骤。其次,通过理论推导,从计算复杂度和频谱域中的偏差误差等方面对算法的性能进行了分析。最后,通过仿真结果证明了该频谱感知算法的有效性。

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