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

Hanwen Cao, Souhir Daoud, A. Wilzeck, T. Kaiser
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引用次数: 14

Abstract

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.
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导频多载波系统频谱传感的实际问题
在当今无线电通信和广播系统的物理层中,广泛采用了OFDM等多载波技术。因此,在认知无线电中,迫切需要一种针对此类信号的鲁棒频谱感知技术。与传统的基于循环前缀(CP)的方法相比,新报道的基于时域符号相互关联的频谱感知(TDSC)方法[1][2]在感知精度和抗CP短污染和信道时间扩散污染的鲁棒性方面都具有优势,该感知方法能够感知所有具有重复导频模式的多载波信号。在本文中,进一步验证了TDSC-NP (Neyman-Pearson)和TDSC-MRC (maximum Ratio combined)方法,并考虑了噪声不确定性、振荡器缺陷和计算复杂性等实际问题。通过仿真验证了TDSC应用于滤波组多载波(FBMC)信号检测的可行性。对仿真信号和捕获的真实多径信道衰落的DVB-T信号进行了分析,捕获信号的感知性能与模拟信号的感知性能吻合良好。
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