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Practical issues in spectrum sensing for multi-carrier system employing pilot tones

机译:采用飞行员的多载波系统频谱感测的实际问题

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Multi-carrier techniques such as OFDM are widely adopted in the physical layer of nowadays radio communication and broadcasting systems. Therefore in cognitive radio, a robust spectrum sensing techniques for such signals is highly desired. Comparing with traditional Cyclic Prefix (CP) based method, newly reported Time-Domain Symbol Cross-correlation based spectrum sensing (TDSC) method [1][2] shows both advantages in sensing accuracy and robustness against shortness of and channel time spread pollution to CP. This sensing method is able to sense all multi-carrier signals with repeated pilot patterns. In this paper, further validations of TDSC-NP (Neyman-Pearson) and TDSC-MRC (Maximal Ratio Combining) methods are presented with practical issues taken into account, e.g. noise uncertainty, oscillator imperfection and computational complexity. The feasibility of applying TDSC for sensing Filter Bank Multi-Carrier (FBMC) signal is validated via simulation. Both simulated signal and captured DVB-T signal with real-world multi-path channel fading are analyzed and the sensing performance of captured signal agrees with that of simulated signal very well.
机译:诸如OFDM的多载波技术在当今无线电通信和广播系统的物理层中广泛采用。因此,在认知无线电中,非常需要用于这种信号的强大光谱感测技术。与基于传统的循环前缀(CP)的方法相比,新报道的时域符号基于时间域互相关基于频谱感测(TDSC)方法[1] [2]示出了感测精度和防止沟通时间蔓延污染的缺陷和稳健性的优点CP。该感测方法能够用重复的导频图案感测所有多载波信号。在本文中,提出了TDSC-NP(Neyman-Pearson)和TDSC-MRC(最大比率组合)方法的进一步验证,其中考虑了实际问题,例如,噪声不确定性,振荡器缺陷和计算复杂性。通过模拟验证应用TDSC用于感测过滤器组多载波(FBMC)信号的可行性。分析了模拟信号和捕获的DVB-T信号,具有实际的多路径信道衰落,并且捕获信号的感测性能非常吻合模拟信号。

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